CN111428300A - Extraction tank clarification chamber design method and system and electronic equipment - Google Patents

Extraction tank clarification chamber design method and system and electronic equipment Download PDF

Info

Publication number
CN111428300A
CN111428300A CN202010227381.2A CN202010227381A CN111428300A CN 111428300 A CN111428300 A CN 111428300A CN 202010227381 A CN202010227381 A CN 202010227381A CN 111428300 A CN111428300 A CN 111428300A
Authority
CN
China
Prior art keywords
design
determining
value
length
extraction
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010227381.2A
Other languages
Chinese (zh)
Other versions
CN111428300B (en
Inventor
郭天宇
姚心
刘诚
王淑婵
罗慧君
李鹏
董择上
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China ENFI Engineering Corp
Original Assignee
China ENFI Engineering Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China ENFI Engineering Corp filed Critical China ENFI Engineering Corp
Priority to CN202010227381.2A priority Critical patent/CN111428300B/en
Publication of CN111428300A publication Critical patent/CN111428300A/en
Application granted granted Critical
Publication of CN111428300B publication Critical patent/CN111428300B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P10/00Technologies related to metal processing
    • Y02P10/20Recycling

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The disclosure provides a design method and a system of a clarifying chamber of an extraction tank and electronic equipment. The design method of the clarifying chamber of the extraction tank comprises the following steps: acquiring the extraction process type and the processing capacity input by a user; determining process parameters and influence coefficients of the process parameters according to the extraction process types; determining a design value for the area of the fining chamber based on the throughput; determining the minimum length of the fining chamber according to the process parameter and the coefficient of influence of the process parameter; determining a design value for a length and a design value for a width of the fining chamber based on the design value for area, the minimum length, and a preset aspect ratio constraint value. The design method of the clarifying chamber of the extraction tank can improve the design efficiency and the design effect of the clarifying chamber.

Description

Extraction tank clarification chamber design method and system and electronic equipment
Technical Field
The disclosure relates to the technical field of computers, in particular to a design method and a system for a clarifying chamber of an extraction tank for hydrometallurgy and electronic equipment.
Background
The extraction box is widely applied to separation, extraction or purification processes of rare earth, noble metal, nonferrous metal and the like. In recent years, extraction tanks have been developed rapidly, and many extraction tanks having different internal structures have been designed at home and abroad, with the aim of improving extraction efficiency. But also because of factors such as technical secrecy or information blocking, the internal structures of different extraction boxes are different and are characterized, and the extraction boxes which are popular are difficult to see in the industry.
Extraction cells have developed rapidly in recent years, but are largely empirical with respect to the use of extraction tanks, particularly clarification chambers, and lack theoretical support and validation. The normal operation of a newly built extraction plant usually requires highly skilled technicians and can be carried out after a long period of commissioning.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a method and a system for designing an extraction tank clarification chamber, which overcome, at least to some extent, the problems of low design efficiency and poor design effect of the extraction tank clarification chamber due to the limitations and disadvantages of the related art.
According to a first aspect of embodiments of the present disclosure, there is provided an extraction tank fining chamber design method, comprising: acquiring the extraction process type and the processing capacity input by a user; determining process parameters and influence coefficients of the process parameters according to the extraction process types; determining a design value for the area of the fining chamber based on the throughput; determining the minimum length of the fining chamber according to the process parameter and the coefficient of influence of the process parameter; determining a design value for a length and a design value for a width of the fining chamber based on the design value for area, the minimum length, and a preset aspect ratio constraint value.
In an exemplary embodiment of the disclosure, the determining design values for length and width of the fining chamber from the design values for area, the minimum length, and preset aspect ratio constraints comprises: determining a maximum width of the fining chamber based on the area design value and the minimum length; determining the length design value and the width design value according to the maximum width, the minimum length and the preset aspect ratio constraint value.
In an exemplary embodiment of the disclosure, the determining design values for length and width of the fining chamber from the design values for area, the minimum length, and preset aspect ratio constraints comprises: determining a plurality of combined pairs of design values for length and width that meet the minimum length, the preset aspect ratio, and the design value for area; determining a corresponding effect parameter group of each combination pair according to a length design value in each combination pair and the influence coefficients of the process parameters and the process parameters; and determining the combination pair corresponding to the optimal effect parameter group as the length design value and the width design value.
In an exemplary embodiment of the disclosure, determining the minimum length of the fining chamber based on the process parameter and the coefficient of influence of the process parameter includes determining the minimum length according to the following equation:
Figure BDA0002428159620000021
wherein, LminIs the minimum length, x1~x4For the process parameters, n, m, z and l are respectively influence coefficients of each process parameter, and A and D are type selection coefficients.
In an exemplary embodiment of the disclosure, the influence coefficients of the process parameters are determined by fluid mechanics simulation calculations under orthogonal experiments.
In an exemplary embodiment of the present disclosure, further comprising: determining an aspect ratio according to the length design value and the width design value; determining to add a baffle to the fining chamber when the aspect ratio exceeds a preset value.
In an exemplary embodiment of the present disclosure, the process parameters include: the oil phase inlet flow parameter, the oil phase viscosity parameter, the stirring strength parameter of the mixing chamber of the extraction box and the oil-water phase ratio parameter.
According to a second aspect of embodiments of the present disclosure, there is provided an extraction tank fining chamber design system, comprising: the human-computer interface module is arranged for acquiring the extraction process type and the processing capacity input by a user; the process parameter determining module is used for determining process parameters and influence coefficients of the process parameters according to the extraction process types; an area range determination module configured to determine a design value for an area of the fining chamber based on the throughput; a minimum length determination module configured to determine a minimum length of the fining chamber based on the process parameter and a coefficient of influence of the process parameter; a length-width determination module configured to determine a design length value and a design width value for the fining chamber based on the design area value, the minimum length, and a preset aspect ratio constraint value.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a memory; and a processor coupled to the memory, the processor configured to perform the method of any of the above based on instructions stored in the memory.
According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a program which, when executed by a processor, implements an extraction tank fining chamber design method as recited in any one of the preceding claims.
According to the embodiment of the disclosure, the area design value and the minimum length of the clarifying chamber are determined according to the extraction process and the treatment capacity selected by a user, and then the length design value and the width design value of the clarifying chamber are determined, so that the size of the clarifying chamber with a better application effect can be rapidly designed, and the design efficiency and the design effect of the clarifying chamber of the extraction tank are effectively improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 is a flow chart of a method of design of an extraction tank fining chamber in an exemplary embodiment of the present disclosure.
FIG. 2 is a sub-flow diagram of a method of design of an extraction tank fining chamber in an exemplary embodiment of the present disclosure.
FIG. 3 is a flow chart of a method of design of an extraction tank fining chamber according to one embodiment of the present disclosure.
FIG. 4 is a block diagram of an extraction tank fining chamber design system in an exemplary embodiment of the present disclosure.
FIG. 5 is a block diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Further, the drawings are merely schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus, a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The following detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.
FIG. 1 is a flow chart of a method of design of an extraction tank fining chamber in an exemplary embodiment of the present disclosure. Referring to fig. 1, an extraction tank fining chamber design method 100 may include:
step S102, acquiring the extraction process type and the processing capacity input by a user;
step S104, determining process parameters and influence coefficients of the process parameters according to the extraction process types;
step S106, determining the area design value of the clarification chamber according to the treatment capacity;
step S108, determining the minimum length of the clarifying chamber according to the process parameters and the influence coefficients of the process parameters;
and step S110, determining a length design value and a width design value of the clarification chamber according to the area design value, the minimum length and the preset aspect ratio constraint value.
According to the embodiment of the disclosure, the area design value and the minimum length of the clarifying chamber are determined according to the extraction process and the treatment capacity selected by a user, and then the length design value and the width design value of the clarifying chamber are determined, so that the size of the clarifying chamber with a better application effect can be rapidly designed, and the design efficiency and the design effect of the clarifying chamber of the extraction tank are effectively improved.
The method 100 provided by the embodiment of the present disclosure may be executed by a data processing model, which is trained to embed various preset values and preset corresponding relationships, so as to implement data classification and data operation functions.
The steps of the method 100 for performing an extraction tank fining chamber design using a data processing model are described in detail below.
In step S102, the extraction process type and the processing amount input by the user are acquired.
The extraction process category may include, for example, simple molecular extraction, neutral complex extraction, acidic complex extraction, ion association extraction, synergistic extraction, etc., and the disclosure is not particularly limited thereto. The processing amount can be determined by the user according to the use requirement.
In step S104, the process parameters and the influence coefficients of the process parameters are determined according to the types of the extraction processes.
In the embodiment of the present disclosure, the process parameters may include, for example, an oil phase inlet flow rate, an oil phase viscosity, an extraction tank mixing chamber stirring strength, and an oil-water ratio, where the process parameters are related to an extraction process type, a default recommended value may be generated by the system according to the extraction process type, and the recommended value may also be modified by a user according to actual needs. In the embodiment of the present disclosure, the trained data processing model is used to generate the default recommended values of the process parameters corresponding to the process types, and the form of the data model can be referred to as the following formula (2).
In step S106, the area design value of the fining chamber is determined based on the throughput.
The treatment capacity, i.e. the treatment flow rate or the treatment speed, may be the sum of the water phase carry-in flow rate and the oil phase carry-in flow rate, and the unit may be, for example, L/h (liter/hour) or L/min (liter/minute).
S=Vz/Vc (1)
Wherein S is an area design value, Vz is a treatment capacity, and Vc is a preset clarification rate. The preset clarification rate can be set empirically by one skilled in the art.
In step S108, the minimum length of the fining chamber is determined based on the process parameter and the coefficient of influence of the process parameter.
In the disclosed embodiment, the minimum length may be determined according to the following equation (2):
Figure BDA0002428159620000051
wherein, LminIs a minimum length, x1~x4N, m, z and l are influence coefficients of each process parameter respectively, and A and D are model selection coefficients.
In the embodiment of the present disclosure, the influence coefficients of the above formula (2) and each process parameter in the formula (2) are determined in advance through fluid mechanics simulation calculation results under orthogonal experiments. Specifically, the relationship between the minimum length capable of optimizing the use effect parameter and the influence coefficient of the process parameter and the process parameter can be determined by judging the existence length and depth of the mixed phase and the purity of the outlet product. For each extraction process, the recommended values of the process parameters, the influence coefficients of the process parameters and the shape selection coefficient A, D can be determined by the formula (2), and the combination of the recommended values of the process parameters, the influence coefficients of the process parameters and the shape selection coefficient A, D can obtain the minimum length of the clarifying chamber with the best extraction effect (for example, 100% separation of water phase and oil phase) under the extraction process.
For each extraction process, the influence coefficient and the model selection coefficient of the corresponding process parameter are set, and after the user selects the extraction process, the value of each process parameter can be modified according to the requirement, but the values of the influence coefficient and the model selection coefficient cannot be modified.
The using effect parameters of the extraction tank can comprise water-oil phase separation effect values, clarification rate values, light and heavy liquid flow fluctuation values, outlet entrainment values, extraction phase continuity values and the like. The influence coefficient of each process parameter affecting the effect parameter, specifically, the influence coefficient of each process parameter that optimizes the value of the effect parameter, may be determined by fluid mechanics simulation calculation under an orthogonal experiment. The influence coefficients of the process parameters may include, for example: the flow rate influence coefficient, the viscosity influence coefficient, the stirring strength influence coefficient and the comparison influence coefficient are in one-to-one correspondence with the types of the process parameters.
In the embodiment of the disclosure, through a large number of simulation calculation analyses, the main influencing factors influencing the two-phase separation effect of the clarifying chamber of the extraction tank, namely, the process parameters corresponding to the extraction process types are determined. On the basis, the influence coefficient of each process parameter is determined by carrying out a large number of orthogonal experiments. Next, a preset mathematical model may be used to determine the minimum length of the fining chamber that will optimize the performance parameters based on the process parameters and the coefficients of influence of the process parameters.
In step S110, the length design value and the width design value of the fining chamber are determined from the area design value, the minimum length, and the preset aspect ratio constraint value.
At this step, the maximum width of the fining chamber may be determined first based on the area design value and the minimum length, and then the length design value and the width design value may be determined based on the maximum width, the minimum length, and the preset aspect ratio constraint value.
It is understood that, in this step, since the maximum width, the minimum length, and the aspect ratio constraint values used in the calculation are all directed to the uncertain length value and width value, the determined length design value and width design value are not necessarily unique, and there may be a plurality of pairs of the length design value and width design value that meet the length requirement, width requirement, and aspect ratio requirement.
In order to select the most suitable combination pair of the length design value and the width design value, in the embodiment of the present disclosure, a verification method as shown in fig. 2 may also be adopted to select the optimal design value.
FIG. 2 is a flowchart of a method for selecting an optimal design value in a loop in an embodiment of the disclosure.
Referring to fig. 2, step S110 may include:
step S1102, determining a plurality of combination pairs of a design value for length and a design value for width that meet a minimum length, a preset aspect ratio, and an area design value;
step S1104, determining a corresponding effect parameter group of each combination pair according to the length design value of each combination pair, the process parameters and the influence coefficients of the process parameters;
in step S1106, the combination pair corresponding to the optimal effect parameter group is determined as the length design value and the width design value.
Through the verification method shown in fig. 3, a combination pair which can optimize the design effect can be selected from a plurality of combination pairs of the required length design value and width design value, and then the optimal design value of the size of the clarification chamber is output.
The data processing model provided by the embodiment of the disclosure can be used for generating the clarification chamber size design value, and can also be used for outputting the effect parameter group according to the length design value input by the user, namely, the prediction of the application effect of different extraction tank design sizes is realized.
In addition to outputting the length design value and the width design value, the disclosed embodiments may further determine a depth design value. The design value of the depth of the clarifying chamber can be determined according to the type of the extraction process, and different types of the extraction process can be set to correspond to different design values of the depth according to experience.
In the design process of the clarifying chamber, whether a grid plate is added or not can be determined to ensure that the water phase and the oil phase are fully separated in the clarifying chamber, and the oil-in-water impurity entrainment at a water phase outlet and the water-in-oil impurity entrainment at an oil phase outlet are avoided.
FIG. 3 is a flow chart of determining whether to add a louver in another embodiment of the present disclosure.
Referring to fig. 3, in one embodiment of the present disclosure, the extraction tank fining chamber design method may further comprise:
step S112, determining the length-width ratio according to the length design value and the width design value;
and step S114, determining to add a grid plate to the clarification chamber when the aspect ratio exceeds a preset value.
Specifically, if the aspect ratio is greater than 1, a grid needs to be added. The preset value can be set by a person skilled in the art according to the working condition, and the disclosure is not limited thereto.
Through the process, the design method of the clarifying chamber of the extraction box, which is provided by the disclosure, can directly output the length design value, the width design value, the depth design value and the grid plate adding scheme of the clarifying chamber of the extraction box, which can enable the effect parameter value to be optimal, according to the extraction process type and the treatment capacity selected by a user, greatly improves the design efficiency and the design effect of the clarifying chamber, can design the clarifying chamber which can ensure the sufficient separation of water phase and oil phase in the clarifying chamber and avoid the oil-in-water impurity entrainment at the water phase outlet and the oil phase outlet.
In addition, by using the data processing model developed by the extraction tank clarification chamber design method disclosed by the disclosure, the operation effect parameter set of the clarification chamber can be output according to the length design value input by a user, so that the application effects of different extraction tank design sizes can be predicted.
Corresponding to the above method embodiments, the present disclosure also provides an extraction tank fining chamber design system, which can be used to perform the above method embodiments.
FIG. 4 is a block diagram of an extraction tank fining chamber design system in an exemplary embodiment of the present disclosure.
Referring to fig. 4, an extraction tank fining chamber design system 400 can comprise: a human-machine interface module 402 configured to obtain the extraction process type and throughput input by the user; a process parameter determination module 404 configured to determine a process parameter and an influence coefficient of the process parameter according to the extraction process type; an area range determination module 406 configured to determine a design value for the area of the fining chamber based on the throughput; a minimum length determination module 408 configured to determine a minimum length of the fining chamber based on the process parameter and the coefficient of influence of the process parameter; the length and width determination module 410 is configured to determine a design length value and a design width value for the fining chamber based on the design area value, the minimum length, and the preset aspect ratio constraint value.
In an exemplary embodiment of the present disclosure, the length and width determining module 410 is configured to: determining the maximum width of the clarification chamber according to the area design value and the minimum length; and determining a length design value and a width design value according to the maximum width, the minimum length and the preset aspect ratio constraint value.
In an exemplary embodiment of the present disclosure, the length and width determining module 410 is configured to: determining a plurality of combination pairs of length design values and width design values which meet the minimum length and the preset length-width ratio; determining a corresponding effect parameter group of each combination pair according to the length design value of each combination pair, the process parameters and the influence coefficients of the process parameters; and determining the combination pair corresponding to the optimal effect parameter set as a length design value and a width design value.
In an exemplary embodiment of the present disclosure, the minimum length determination module 408 is configured to determine the minimum length according to the following formula:
Figure BDA0002428159620000091
wherein, LminFor the minimum length, x 1-x 4 are process parameters, n, m, z and l are influence coefficients of each process parameter respectively, and A and D are model selection coefficients.
In an exemplary embodiment of the present disclosure, the influence coefficients of the process parameters are determined by fluid mechanics simulation calculations under orthogonal experiments.
In an exemplary embodiment of the present disclosure, the apparatus further comprises a grid plate determination module 412 configured to: determining the length-width ratio according to the length design value and the width design value; the addition of a baffle to the clarification chamber is determined when the aspect ratio exceeds a preset value.
In an exemplary embodiment of the present disclosure, the process parameters include: the oil phase inlet flow parameter, the oil phase viscosity parameter, the stirring strength parameter of the mixing chamber of the extraction box and the oil-water phase ratio parameter.
Since the functions of the apparatus 400 have been described in detail in the corresponding method embodiments, the disclosure is not repeated herein.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 that couples various system components including the memory unit 520 and the processing unit 510.
Where the storage unit stores program code, which may be executed by the processing unit 510, to cause the processing unit 510 to perform the steps according to various exemplary embodiments of the present invention as described in the above-mentioned "exemplary methods" section of this specification. For example, processing unit 510 may perform a method as shown in fig. 1.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
Storage unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 530 may be one or more of any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 500 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, Bluetooth device, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 500, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 500 to communicate with one or more other computing devices.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when the program product is run on the terminal device.
The program product for implementing the above method according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including AN object oriented programming language such as Java, C + +, or the like, as well as conventional procedural programming languages, such as the "C" language or similar programming languages.
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (10)

1. A design method of a clarifying chamber of an extraction tank is characterized by comprising the following steps:
acquiring the extraction process type and the processing capacity input by a user;
determining process parameters and influence coefficients of the process parameters according to the extraction process types;
determining a design value for the area of the fining chamber based on the throughput;
determining the minimum length of the fining chamber according to the process parameter and the coefficient of influence of the process parameter;
determining a design value for a length and a design value for a width of the fining chamber based on the design value for area, the minimum length, and a preset aspect ratio constraint value.
2. The extraction tank fining chamber design method according to claim 1, wherein the determining design values for the length and the width of the fining chamber based on the design values for the area, the minimum length, and the preset aspect ratio constraint value comprises:
determining a maximum width of the fining chamber based on the area design value and the minimum length;
determining the length design value and the width design value according to the maximum width, the minimum length and the preset aspect ratio constraint value.
3. The extraction tank fining chamber design method according to claim 1, wherein the determining design values for the length and the width of the fining chamber based on the design values for the area, the minimum length, and the preset aspect ratio constraint value comprises:
determining a plurality of combined pairs of design values for length and width that meet the minimum length, the preset aspect ratio, and the design value for area;
determining a corresponding effect parameter group of each combination pair according to a length design value in each combination pair and the influence coefficients of the process parameters and the process parameters;
and determining the combination pair corresponding to the optimal effect parameter group as the length design value and the width design value.
4. The extraction tank fining chamber design method according to claim 1, wherein determining the minimum length of the fining chamber based on the process parameter and the coefficient of influence of the process parameter comprises determining the minimum length according to the following equation:
Lmin=Ax1 nx2 mx3 zx4 l+D,
wherein L min is the minimum length, x1~x4For the process parameters, n, m, z and l are respectively influence coefficients of each process parameter, and A and D are type selection coefficients.
5. The method of claim 1 wherein the impact coefficients of the process parameters are determined by fluid mechanics simulation calculations under orthogonal experiments.
6. The extraction tank fining chamber design method according to claim 1, further comprising:
determining an aspect ratio according to the length design value and the width design value;
determining to add a baffle to the fining chamber when the aspect ratio exceeds a preset value.
7. The extraction tank fining chamber design method according to claim 1, wherein the process parameters comprise: the oil phase inlet flow parameter, the oil phase viscosity parameter, the stirring strength parameter of the mixing chamber of the extraction box and the oil-water phase ratio parameter.
8. An extraction tank fining chamber design system, comprising:
the human-computer interface module is arranged for acquiring the extraction process type and the processing capacity input by a user;
the process parameter determining module is used for determining process parameters and influence coefficients of the process parameters according to the extraction process types;
an area range determination module configured to determine a design value for an area of the fining chamber based on the throughput;
a minimum length determination module configured to determine a minimum length of the fining chamber based on the process parameter and a coefficient of influence of the process parameter;
a length-width determination module configured to determine a design length value and a design width value for the fining chamber based on the design area value, the minimum length, and a preset aspect ratio constraint value.
9. An electronic device, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the extraction tank fining chamber design method of any one of claims 1-7 based on instructions stored in the memory.
10. A computer-readable storage medium, on which a program is stored which, when being executed by a processor, carries out the extraction tank clarification chamber design method according to any one of claims 1-7.
CN202010227381.2A 2020-03-27 2020-03-27 Extraction tank clarification chamber design method and system and electronic equipment Active CN111428300B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010227381.2A CN111428300B (en) 2020-03-27 2020-03-27 Extraction tank clarification chamber design method and system and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010227381.2A CN111428300B (en) 2020-03-27 2020-03-27 Extraction tank clarification chamber design method and system and electronic equipment

Publications (2)

Publication Number Publication Date
CN111428300A true CN111428300A (en) 2020-07-17
CN111428300B CN111428300B (en) 2023-03-24

Family

ID=71548966

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010227381.2A Active CN111428300B (en) 2020-03-27 2020-03-27 Extraction tank clarification chamber design method and system and electronic equipment

Country Status (1)

Country Link
CN (1) CN111428300B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR1125473A (en) * 1954-03-15 1956-10-31 Dorr Oliver Inc Plate clarifier
CN88100728A (en) * 1987-02-18 1988-09-07 苏联科学院拉科分院稀有元素和矿石化学和工艺研究所 The settling tank of liquid-liquid extraction apparatus
WO2000020552A1 (en) * 1998-10-01 2000-04-13 Hrch. Huppmann Gmbh Method for controlling a process in a clarifying vat
CN204502463U (en) * 2015-03-25 2015-07-29 湖南永清环保研究院有限责任公司 A kind of extraction equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR1125473A (en) * 1954-03-15 1956-10-31 Dorr Oliver Inc Plate clarifier
CN88100728A (en) * 1987-02-18 1988-09-07 苏联科学院拉科分院稀有元素和矿石化学和工艺研究所 The settling tank of liquid-liquid extraction apparatus
WO2000020552A1 (en) * 1998-10-01 2000-04-13 Hrch. Huppmann Gmbh Method for controlling a process in a clarifying vat
CN204502463U (en) * 2015-03-25 2015-07-29 湖南永清环保研究院有限责任公司 A kind of extraction equipment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
魏士良: "挡板澄清器的设计计算", 《铀矿冶》 *

Also Published As

Publication number Publication date
CN111428300B (en) 2023-03-24

Similar Documents

Publication Publication Date Title
EP2991004B1 (en) Method and apparatus for labeling training samples
Zuo et al. A new method for stability analysis of recurrent neural networks with interval time-varying delay
CN107463683B (en) The naming method and terminal device of code element
JP2018073411A (en) Natural language generation method, natural language generation device, and electronic apparatus
CN110096823B (en) Digital integrated circuit wiring method based on binary coding and terminal equipment
Sinkala et al. Invariance properties of a general bond-pricing equation
CN111428300B (en) Extraction tank clarification chamber design method and system and electronic equipment
CN114564971A (en) Deep learning model training method, text data processing method and text data processing device
CN110647718A (en) Data processing method, device, equipment and computer readable storage medium
EP3712890B1 (en) Method for processing speech/audio signal and apparatus
CN103839247A (en) Edge pixel determination method, edge pixel determination apparatus, and image processing device
Polkinghorne High-enargy behaviour of production amplitudes in perturbation theory
Norouzi‐Firouz et al. A coupled hydrodynamic‐biokinetic simulation of three‐phase flow in an oxidation ditch using CFD
WO2022032682A1 (en) Parameter optimization method, device, and storage medium
Kudlek et al. Closure properties of multiset language families
CN114490969A (en) Question and answer method and device based on table and electronic equipment
CN109901931B (en) Reduction function quantity determination method, device and system
CN115511262A (en) Transformer quality detection method and device
CN110348000B (en) Typesetting document interaction calculation method, device, equipment and computer readable medium
El-Amrani et al. Positive real control for 2D continuous systems roesser models in finite frequency domains
CN109947393A (en) Operation method and device based on complementation device
Zare et al. Copy Number Variation Detection Using Total Variation
CN103309675A (en) Web service encapsulation method and system for weather forecasting calculating system weather research forecasting (WRF)
CN114838468B (en) Control method of alternating current fan and related equipment thereof
Sheldon Discrete adaptive rejection sampling

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant