CN111142582B - Intelligent control system of rare earth extraction production process - Google Patents

Intelligent control system of rare earth extraction production process Download PDF

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CN111142582B
CN111142582B CN202010031736.0A CN202010031736A CN111142582B CN 111142582 B CN111142582 B CN 111142582B CN 202010031736 A CN202010031736 A CN 202010031736A CN 111142582 B CN111142582 B CN 111142582B
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CN111142582A (en
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边雪
吴文远
蔡明�
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Northeastern University China
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D7/00—Control of flow
    • G05D7/06—Control of flow characterised by the use of electric means
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    • C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
    • C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
    • C22B3/00—Extraction of metal compounds from ores or concentrates by wet processes
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    • C22B3/26—Treatment or purification of solutions, e.g. obtained by leaching by liquid-liquid extraction using organic compounds
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    • C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
    • C22B59/00—Obtaining rare earth metals
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Abstract

The invention provides an intelligent control system for a rare earth extraction production process, and relates to the technical field of rare earth extraction. The system comprises a parameter management module, a data acquisition module and a data processing module, wherein the distribution ratio of each rare earth component in a feed liquid is filled according to the composition of a rare earth raw material, the flow parameter of a rare earth extraction field is monitored in real time, and the concentration of the feed liquid, the saponification degree and the concentration of acid washing are changed according to the flow parameter; the main control module controls the operation times of the system through the ranking ratio; correcting the separation coefficient, and reading and monitoring three flow parameters in the rare earth extraction production process in real time; when the deviation between the tank distribution data and the standard flow data exceeds a set threshold value, automatically adjusting the flow parameters to the intelligent control module of the standard flow in time; a production data management module for storing the calculated tank distribution data and calling the extraction tank distribution data or the historical tank distribution curve according to the regularity of the system operation time; and the data display module is used for displaying the extraction tank distribution data or the historical tank distribution curve called by the production data management module.

Description

Intelligent control system of rare earth extraction production process
Technical Field
The invention relates to the technical field of rare earth extraction, in particular to an intelligent control system for a rare earth extraction production process.
Background
Rare earth refers to 15 lanthanides with atomic numbers 57 to 71 in the periodic table and 17 elements of scandium and yttrium with similar chemical properties to the lanthanides. The rare earth elements have excellent physical and chemical properties, so that the rare earth elements are widely applied to various fields, such as rare earth hydrogen storage alloys, luminescent materials, permanent magnetic materials and the like.
There are many separation methods for separating single or multiple rare earth elements from a rare earth mixture, including fractional crystallization, fractional precipitation, ion exchange chromatography, solvent extraction, chemical vapor transport, redox, and extractive resin chromatography. The method of separating each level of rare earth element in the raw material containing rare earth in turn by using different distribution modes of each rare earth element between two immiscible liquid phases is called rare earth solvent extraction method.
The rare earth extraction separation system comprises an organic phase and a water phase. The organic phase mainly comprises: an extractant, an inert organic solvent for improving the physical properties of the extractant, and a diluent not participating in the reaction. The aqueous phase comprises: a feed liquid (usually containing two or more rare earth elements), a washing liquid for washing the rare earth components difficult to extract and purifying the easy-to-extract components, and a stripping liquid for dissociating the extracted matter in the organic phase.
According to different extracting agents, the extraction system is divided into a simple molecular extraction system, an acidic extraction system, a neutral extraction system, an ion association extraction system, a synergistic extraction system and the like. Neutral complex extraction systems and acidic complex extraction systems are widely used in practical production.
In the process of extracting and separating the rare earth, because the purpose of effective separation is difficult to achieve by only once extraction of each component, only after the aqueous phase and the organic phase are subjected to reaction contact for many times, the easily-extracted component is continuously enriched in the organic phase, and the difficultly-extracted component is enriched in the aqueous phase so as to meet the requirement of component purity. This way of connecting several extractors in series and achieving multiple contacting of the aqueous phase and the organic phase is known in the production process as cascade extraction. The cascade extraction is divided into cross-flow extraction, counter-flow extraction, fractional extraction and other processes according to the difference of the flow modes of the water phase and the organic phase.
Since the 70 s in the twentieth century, under the long-term efforts of researchers, the rare earth extraction separation process modeling field has a great breakthrough, and the most representative is the cascade extraction theory proposed by the xu-Photonic constitution. The cascade extraction theory is used for researching the distribution rule of the rare earth elements to be extracted in two phases of each tank body in the rare earth extraction process and the relation between each process parameter and product indexes in production under different process conditions;
at present, rare earth component simulation is mainly to utilize the rare earth cascade extraction carried out by using a Xuanguan constitution cascade extraction theory so as to establish a mathematical model and simulate the content of each component distributed in a field tank, and the condition required by the theory is over-ideal and has a certain deviation from the actual condition.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art, and provides an intelligent control system for a rare earth extraction production process, so as to realize intelligent control of the rare earth extraction production process.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: an intelligent control system for a rare earth extraction production process comprises a parameter management module, a main control module, an intelligent control module, a production data management module and a data display module;
the parameter management module fills the distribution ratio of each rare earth component in the feed liquid according to the composition of the rare earth raw materials, performs real-time interaction with a field flowmeter in the rare earth extraction production process according to an OPC protocol, monitors three flow parameters of the feed liquid flow, the organic phase flow and the acid washing flow in the rare earth extraction field in real time, and changes the concentration of the feed liquid, the saponification degree and the acid washing concentration according to the real-time change of the rare earth extraction field flow;
the main control module controls the operation times of the system through a ranking ratio, namely the start time and the end time of the operation of the control system; the operation times of the system correspond to the total operation time of the whole extraction process of the rare earth extraction production, and the total operation time of the actual rare earth extraction production is represented by 3 times of the operation times of the control system;
the number of times the system is operated is shown in the following formula:
I＝G(MM+NN)
wherein I is the number of system operation times, NN is the number of stages of an extraction section, MM is the number of stages of a washing section, and G is a ranking ratio;
the intelligent control module comprises a separation coefficient correction submodule, a flow monitoring submodule and a flow adjusting submodule;
the separation coefficient correction submodule collects tank distribution data at intervals on an extraction site, a regression equation is carried out, all coefficients of the obtained equation are stored in a specified database, average value calculation is carried out on the coefficients, and the obtained average value coefficient is brought back to the separation coefficient equation; continuously regressing the data to enable the separation coefficient equation to be continuously corrected and perfected, and then introducing the obtained corrected separation coefficient into a cascade extraction mathematical equation to carry out simulation calculation; the distribution data of the grooves comprise the purity of components such as La, Ce, Pr and Nd of the water phase of the sampling points and the La, Ce, Pr and Nd of the organic phase and the acidity of the washing liquid;
the flow monitoring submodule interacts with an automatic flow control system in the rare earth extraction production process through an OPC (OLE for process control) protocol, and reads three flow parameters in the rare earth extraction production process in real time; adjusting the three flow parameters according to the set flow safety range, and sending an abnormal alarm when the flow parameters exceed the safety range;
the flow adjusting submodule automatically adjusts flow parameters; when the received flow parameters change continuously, the water phase and organic phase equilibrium curves are used for dynamically simulating the tank distribution state, the extraction site real-time tank distribution data is compared and analyzed, and when the deviation of the tank distribution data and the standard flow data exceeds a set threshold, the flow parameters are automatically adjusted to the standard flow in time;
the production data management module stores the calculated tank distribution data and calls extraction tank distribution data or historical tank distribution curves according to the regularity of the system operation time;
the data display module displays extraction tank distribution data or a historical tank distribution curve called by the production data management module, the tank distribution data of a sampling point and the tank distribution data of a certain time point of system operation are drawn into a curve, and the stability of the operation state of an extraction site is visually analyzed and compared;
the method for storing the calculated slot distribution data by the production data management module comprises the following steps: storing primary tank distribution data when primary ranking ratio is carried out, wherein eight groups of tank distribution data including La, Ce, Pr and Nd of the water phase and La, Ce, Pr and Nd of the organic phase are stored separately in the storage process; besides the data of each component distributed in the storage tank, important flow parameters such as feed liquid concentration, saponification degree, acid washing concentration, washing water flow and intermediate outlet flow are written into a database and stored;
the production data management module realizes the calling of the extraction tank distribution data by inputting a time point by utilizing the characteristic that the production data management module corresponds to the tank distribution data in the data storage process; in the result of data query, there is not only the slot distribution data at a certain time point in the query history, but also the database of sampling points, the total data of system operation, and the data of sampling points after data input.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: according to the intelligent control system for the rare earth extraction production process, provided by the invention, the database is established in the system, the real-time acquisition of extraction production line data is realized by utilizing the relation between the ranking ratio in the system operation process and the actual production time of an extraction field, and the tank distribution historical curve can be visually compared. The method establishes the interactive relation between the control system and the material liquid distribution, and realizes the monitoring of the control system on the actual production line slot distribution under the condition of material liquid distribution fluctuation. Meanwhile, an interaction relation between the control system and the control parameters of the extraction line is established through an OPC protocol, the tank distribution data under different flow rates on site and the data acquired by the control system are compared, and the result shows that the control system can better monitor the tank distribution rule. In addition, an actual groove distribution curve is established through sampling points of the extraction lines, the actual groove distribution curve is compared with a database in the control system, and the control system is communicated with the extraction line parameter control system, so that the control system can monitor extraction field parameters in real time.
Drawings
Fig. 1 is a block diagram of an intelligent control system for a rare earth extraction production process according to an embodiment of the present invention;
FIG. 2 is a main interface diagram of an intelligent control system for rare earth extraction production process established based on MATLAB according to an embodiment of the present invention;
FIG. 3 is a graph of the equilibrium of the cell distribution taken in accordance with an embodiment of the present invention, wherein (a) is the equilibrium curve of the aqueous phase and (b) is the equilibrium curve of the organic phase;
fig. 4 is a graph showing a visual comparison between a cell distribution equilibrium curve of a control system operating time of 13 days and 8 hours and a cell distribution equilibrium curve of a sampling point according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In this embodiment, the intelligent control system for the rare earth extraction production process is established based on the MATLAB and the EXCEL database, so as to realize intelligent control of the rare earth extraction production process.
An intelligent control system for rare earth extraction production process is shown in fig. 1 and 2, and comprises a parameter management module, a main control module, an intelligent control module, a production data management module and a data display module;
the parameter management module fills the distribution ratio of each rare earth component in the feed liquid according to the composition of the rare earth raw materials, performs real-time interaction with a field flowmeter in the rare earth extraction production process according to an OPC protocol, monitors three flow parameters of the feed liquid flow, the organic phase flow and the acid washing flow in the rare earth extraction field in real time, and changes the concentration of the feed liquid, the saponification degree and the acid washing concentration according to the real-time change of the rare earth extraction field flow;
the main control module controls the operation times of the system through a ranking ratio, namely the start time and the end time of the operation of the control system; the operation times of the system correspond to the total operation time of the whole extraction process of the rare earth extraction production, and the total operation time of the actual rare earth extraction production is represented by 3 times of the operation times of the simulation system;
the number of times the system is operated is shown in the following formula:
I＝G(MM+NN)
wherein I is the number of system operation times, NN is the number of stages of an extraction section, MM is the number of stages of a washing section, and G is a ranking ratio;
in the operation process of the system, the calculation is distributed according to odd rows and even rows, the adjacent two times of calculation comprises one time of odd row calculation and one time of even row calculation, the odd rows and the even rows are integrated to be equal to a whole row of the extraction process, each time of phase transfer is completed, the phase transfer is equivalent to the process that feed liquid flows from one stage to the next stage in the actual extraction production, and the process is about 3 minutes, so that the total operation time of the actual rare earth extraction production is represented by 3 times of the operation times of the system;
the intelligent control module comprises a separation coefficient correction submodule, a flow monitoring submodule and a flow adjusting submodule;
the separation coefficient correction submodule collects tank distribution data at intervals on an extraction site, a regression equation is carried out, all coefficients of the obtained equation are stored in an appointed Excel table, average value calculation is carried out on the coefficients, and the obtained average value coefficient is brought back to the separation coefficient equation; continuously regressing the data to enable the separation coefficient equation to be continuously corrected and perfected, and then introducing the obtained corrected separation coefficient into a cascade extraction mathematical equation to carry out simulation calculation; the distribution data of the grooves comprise the purity of components such as La, Ce, Pr and Nd of the water phase of the sampling points and the La, Ce, Pr and Nd of the organic phase and the acidity of the washing liquid;
the separation coefficient is used for expressing the separation effect between two solutes when a solution containing two or more solutes is subjected to extraction separation under the same extraction system and the same extraction condition, and the ratio of the distribution ratio D of the solutes is used for expressing the separation effect between the two solutes, and the expression is as follows:
βA/B＝DA/DB＝ca is provided with·cB water/cA water·cB has
Wherein: a represents an easily extractable component, B represents a hardly extractable component,. betaA/BTo separate the coefficients, cIs provided withIndicating the concentration of the extracted component in the organic solvent when the separation and extraction reach equilibrium, cWater (W)Indicating the concentration value of the extracted component in the water phase when the separation and extraction reach the equilibrium; in general, betaA/BThe larger the value, the better the separation effect of A and B, when DAAnd DBWhen both are large, result in betaA/BThe value is high, but it cannot be said that the separation of A and B is good. The average separation coefficient of each component is always used in the original cascade extraction simulation calculation process, so that the simulated dynamic simulation data and the actual tank distribution data always have deviation, and the simulated dynamic change effect is deviated. The invention starts from the angle that the separation coefficient of each component in each stage is different, calculates the separation coefficient value by using the distribution data of the sampling point grooves and establishes a regression equation with the acidity of the washing liquid in each stage, forms the separation coefficient equation and brings the separation coefficient equation into the cascade extraction calculation, and the specific process is as follows:
(1) in the research of the relationship between the acidity of the washing liquid and the separation coefficient of each component in the tank body, the change of the separation coefficient is observed by changing the acidity of the washing liquid, which indicates that the acidity of the washing liquid influences the separation coefficient of each component.
(2) Through the change of the acidity values of the washing liquid in the tanks under different washing liquid flows provided by an extraction site, a certain mathematical relationship is found between the values, and by utilizing the relational expression, the acidity of the washing liquid in a certain series under a certain washing liquid flow can be obtained, so that the regression equation of the separation coefficient can be conveniently solved.
(3) And Fitting the tank distribution data by using the Curve Fitting in MATLAB, wherein the obtained fitted three-dimensional chart shows that the separation coefficients of all components in each tank on the extraction line have certain mathematical relationship, and the mathematical equation is summarized. In order to be brought into the cascade extraction calculation.
(4) Comparing the tank balance curve calculated by using the average separation coefficient and the tank balance curve calculated by using the regression separation coefficient equation with the actual tank distribution curve on site, the regression separation coefficient equation shows that the cascade extraction simulation is more consistent with the actual tank distribution on the extraction site. The flow monitoring submodule interacts with an automatic flow control system in the rare earth extraction production process through an OPC (OLE for process control) protocol, and reads three flow parameters in the rare earth extraction production process in real time; adjusting the three flow parameters according to the set flow safety range, and sending an abnormal alarm when the flow parameters exceed the safety range;
in this embodiment, the automatic flow control system used in the rare earth extraction production process employs a siemens WINCC system. WINCC is configuration software developed by Siemens of Germany based on windows, and communication interaction between MATLAB and WINCC mainly comprises two protocol modes: the DDE protocol and the OPC protocol. This module interacts primarily with the OPC protocol. OPC is an interface standard which is established on the basis of OLE, COM and DCOM technologies in Microsoft windows systems and realizes interactive communication between programs and field devices. And the OPC protocol provides a stable and efficient information transfer for industrial production procedures.
The flow adjusting submodule automatically adjusts flow parameters; when the received flow parameters change continuously, the system utilizes a water phase and organic phase balance curve to dynamically simulate the distribution state of the tank, the actual production is abnormal and the product purity is not enough under the on-site flow parameter state, the real-time tank distribution data of the extraction site is compared and analyzed, and when the deviation of the tank distribution data and the standard flow data exceeds a set threshold value, the flow parameters are automatically adjusted to the standard flow in time;
in the process of operating the control system and the field extraction separation process together, the actual extraction production process has serious hysteresis, the purity of the product can be obtained after a long time, abnormal operation including flow abnormity, field separation equipment failure, product purity problems and the like is encountered in the actual extraction process, the control system needs to remind the field in time, and the fault reason needs to be given so as to protect the driving of the actual extraction production in normal operation.
The production data management module stores the calculated tank distribution data and calls extraction tank distribution data or historical tank distribution curves according to the regularity of the system operation time;
in the intelligent control of the extraction production process, from the beginning of controlling the operation of a system, the interaction of an MATLAB program and excel is utilized to store the slot distribution data in the operation of the system.
And (3) in the interaction between the MATLAB and Excel, utilizing an xlwrite function to write the slot distribution data obtained by the operation of the control system into the Excel in sequence, wherein the basic usage format of xlwrite is as follows:
xlswrite(filename，A，sheet，xlRange)
wherein, filename is a file name required to be read, A represents data content to be read, and Sheet is a page number read in the Excel table; xlRange is the range area read in the table.
And storing the calculated slot distribution data according to the regularity of the running time of the control system. That is, a ranking ratio (every (MM + NN) × 2 times of storage) is stored once, and eight groups of the aqueous La, Ce, Pr, Nd and the organic La, Ce, Pr, Nd are stored separately during the storage process, that is, they are written into each page of Excel, so that the subsequent data query is easier to search. In addition to the data of the distribution of the components in the storage tank, important flow parameters including feed liquid concentration, saponification degree, washing acid concentration, washing water flow rate and intermediate outlet flow rate are written and stored in Excel together, and in order to write the data into the Excel table in time sequence row by row, the data is written into the table in sequence row by row using the xlsxrange function, and is input downward indefinitely.
The time in the process of storing the slot distribution data and the slot distribution data are corresponding to each other, so that the slot distribution data and the flow parameters at a certain time point can be obtained only by inputting a certain group of time points. In the embodiment, the time input text box and the data query button control are arranged on the control interface of the control system, and the slot distribution data at the fixed time point can be queried by utilizing the characteristic that the time and the slot distribution data correspond to each other in the data storage process. In the result of data query, there is not only the slot distribution data at a certain time point in the query history, but also the database of sampling points, the total data of program operation, and the data of sampling points after data input.
Like the inquiry of groove distribution data, the calling of historical groove distribution curve is also very important, can be through calling historical groove distribution curve come the analysis extraction site production's fault reason to be convenient for establish the production statement, compare in the calling of groove distribution data, the groove distribution curve can reflect the state that the groove distributes more directly perceived, clearly. Firstly, inputting historical time, the process is the same as the step of inquiring the slot distribution data, reading the slot distribution data at the moment in the running total data by using an xlsread function, writing the group of data into a table of Excel named by Query by using xlsrite, and then drawing the group of slot distribution data into a curve, namely a slot distribution balance curve. Firstly, eight groups of groove distribution data of water phase La, Ce, Pr and Nd and organic phase La, Ce, Pr and Nd in a Query table are read by xlsread, the read data are given names, then eight groups of data are drawn into curves by utilizing a plot function, and in the drawing process, attribute setting including color, thickness, shape and the like needs to be carried out on each curve. In this example, the cell distribution balance curve obtained by the adjustment is shown in FIG. 3.
The data display module displays extraction tank distribution data or a historical tank distribution curve called by the production data management module, the tank distribution data of a sampling point and the tank distribution data of a certain time point of system operation are drawn into a curve, and the stability of the operation state of an extraction site is visually analyzed and compared;
the groove distribution data of the sampling points on the extraction site and the groove distribution data of a certain time point of the operation of the control system are drawn into a curve, so that the stability of the operation state on the extraction site can be conveniently and visually analyzed and compared. Therefore, the groove distribution condition of the control system at a certain historical moment can be checked at any time, and can be compared with the groove distribution data of the sampling point at that moment.
In this embodiment, the xlsread function is used to read the slot distribution data and the sampling point data stored in the control system, and then the plot function is used to realize the visual comparison of the two sets of data. Fig. 4 is a visual comparison of a tank distribution balance curve of the control system for 8 hours in 13 days of operation time and a sampling point tank distribution balance curve, and it can be seen from the graph that the tank distribution balance curve of the control system is matched with the actual production tank distribution curve, meanwhile, 14 levels are La and Ce product outlets, the purity ratio of the La and Ce at the outlets is 35:65, and it can be seen that the ratio of the La and Ce at the 14 levels of the tank distribution balance curve of the control system and the sampling point tank distribution balance curve is almost 35: 65. It can be seen that the control system is close to the practical extraction production at present.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions and scope of the present invention as defined in the appended claims.

Claims (4)

1. An intelligent control system of rare earth extraction production process which characterized in that: the intelligent production control system comprises a parameter management module, a main control module, an intelligent control module, a production data management module and a data display module;
the parameter management module fills the distribution ratio of each rare earth component in the feed liquid according to the composition of the rare earth raw materials, performs real-time interaction with a field flowmeter in the rare earth extraction production process according to an OPC protocol, monitors three flow parameters of the feed liquid flow, the organic phase flow and the acid washing flow in the rare earth extraction field in real time, and changes the concentration of the feed liquid, the saponification degree and the acid washing concentration according to the real-time change of the rare earth extraction field flow;
the main control module controls the operation times of the system through a ranking ratio, namely the start time and the end time of the operation of the control system; the operation times of the system correspond to the total operation time of the whole extraction process of the rare earth extraction production, and the total operation time of the actual rare earth extraction production is represented by 3 times of the operation times of the control system;
the intelligent control module comprises a separation coefficient correction submodule, a flow monitoring submodule and a flow adjusting submodule;
the separation coefficient correction submodule continuously corrects and perfects a separation coefficient equation to obtain a corrected separation coefficient;
the flow monitoring submodule interacts with an automatic flow control system in the rare earth extraction production process through an OPC (OLE for process control) protocol, and reads three flow parameters in the rare earth extraction production process in real time; adjusting the three flow parameters according to the set flow safety range, and sending an abnormal alarm when the flow parameters exceed the safety range;
the flow adjusting submodule automatically adjusts flow parameters; when the received flow parameters change continuously, the water phase and organic phase equilibrium curves are used for dynamically simulating the tank distribution state, the extraction site real-time tank distribution data is compared and analyzed, and when the deviation of the tank distribution data and the standard flow data exceeds a set threshold, the flow parameters are automatically adjusted to the standard flow in time;
the production data management module stores the calculated tank distribution data and calls extraction tank distribution data or historical tank distribution curves according to the regularity of the system operation time;
the data display module displays extraction tank distribution data or a historical tank distribution curve called by the production data management module, the tank distribution data of a sampling point and the tank distribution data of a certain time point of system operation are drawn into a curve, and the stability of the operation state of an extraction site is visually analyzed and compared;
the separation coefficient correction submodule collects tank distribution data at intervals on an extraction site, a regression equation is carried out, all coefficients of the obtained equation are stored in a specified database, average value calculation is carried out on the coefficients, and the obtained average value coefficient is brought back to the separation coefficient equation; continuously regressing the data to enable the separation coefficient equation to be continuously corrected and perfected, and then introducing the obtained corrected separation coefficient into a cascade extraction mathematical equation to carry out simulation calculation; the distribution data of the grooves comprise the purity of components of La, Ce, Pr and Nd of the aqueous phase and the La, Ce, Pr and Nd of the organic phase of the sampling points and the acidity of the washing liquid.
2. The intelligent control system for the rare earth extraction production process according to claim 1, wherein: the number of times the system is operated is shown in the following formula:
I＝G(MM+NN)
wherein, I is the running times of the system, NN is the stage number of the extraction section, MM is the stage number of the washing section, and G is the ranking ratio.
3. The intelligent control system for the rare earth extraction production process according to claim 1, wherein: the method for storing the calculated slot distribution data by the production data management module comprises the following steps: storing primary tank distribution data when primary ranking ratio is carried out, wherein eight groups of tank distribution data including La, Ce, Pr and Nd of the water phase and La, Ce, Pr and Nd of the organic phase are stored separately in the storage process; in addition to the data of the distribution of each component in the storage tank, important flow parameters such as feed liquid concentration, saponification degree, acid washing concentration, washing water flow rate and intermediate outlet flow rate are also written and stored in the database.
4. The intelligent control system for the rare earth extraction production process according to claim 1, wherein: the production data management module realizes the calling of the extraction tank distribution data by inputting a time point by utilizing the characteristic that the production data management module corresponds to the tank distribution data in the data storage process; in the result of data query, there is not only the slot distribution data at a certain time point in the query history, but also the database of sampling points, the total data of system operation, and the data of sampling points after data input.
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