CN112159415A - Method and device for improving artemisinin extraction purity - Google Patents
Method and device for improving artemisinin extraction purity Download PDFInfo
- Publication number
- CN112159415A CN112159415A CN202011162172.0A CN202011162172A CN112159415A CN 112159415 A CN112159415 A CN 112159415A CN 202011162172 A CN202011162172 A CN 202011162172A CN 112159415 A CN112159415 A CN 112159415A
- Authority
- CN
- China
- Prior art keywords
- information
- extraction
- purity
- obtaining
- artemisinin
- 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.)
- Pending
Links
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C07—ORGANIC CHEMISTRY
- C07D—HETEROCYCLIC COMPOUNDS
- C07D493/00—Heterocyclic compounds containing oxygen atoms as the only ring hetero atoms in the condensed system
- C07D493/12—Heterocyclic compounds containing oxygen atoms as the only ring hetero atoms in the condensed system in which the condensed system contains three hetero rings
- C07D493/20—Spiro-condensed systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P3/00—Drugs for disorders of the metabolism
- A61P3/08—Drugs for disorders of the metabolism for glucose homeostasis
- A61P3/10—Drugs for disorders of the metabolism for glucose homeostasis for hyperglycaemia, e.g. antidiabetics
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P33/00—Antiparasitic agents
- A61P33/02—Antiprotozoals, e.g. for leishmaniasis, trichomoniasis, toxoplasmosis
- A61P33/06—Antimalarials
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P35/00—Antineoplastic agents
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P9/00—Drugs for disorders of the cardiovascular system
- A61P9/12—Antihypertensives
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Abstract
The invention discloses a method and a device for improving the extraction purity of artemisinin, which are used for obtaining a first artemisinin extraction raw material; obtaining first extraction temperature information; obtaining first extraction pressure information; taking the first extracted temperature information as first input information; taking the first extraction pressure information as second input information; inputting the first input information and the second input information into a first training model to obtain a first output result of the first training model, wherein the first output result comprises extraction purity information of the first artemisinin extraction raw material; obtaining a predetermined purity threshold; judging whether the extracted purity information is within a preset purity threshold value; if the extraction purity information is within a predetermined purity threshold, obtaining a first extraction instruction; and extracting the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information. Solves the technical problem of low extraction purity of the artemisinin in the prior art.
Description
Technical Field
The invention relates to the field of artemisinin extraction, in particular to a method and a device for improving artemisinin extraction purity.
Background
Artemisinin is the best drug for treating malaria drug resistance, and in recent years, with the continuous and intensive research, other effects of artemisinin are increasingly discovered and researched, such as anti-tumor, treatment of pulmonary hypertension, anti-diabetes and the like.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the prior art has the technical problem of low extraction purity of artemisinin.
Disclosure of Invention
The embodiment of the application provides the method and the device for improving the extraction purity of the artemisinin, solves the technical problem of low extraction purity of the artemisinin in the prior art, and achieves the technical effect of improving the extraction purity of the artemisinin.
In view of the above problems, the embodiments of the present application provide a method and an apparatus for improving the extraction purity of artemisinin.
In a first aspect, the embodiments of the present application provide a method for improving the extraction purity of artemisinin, the method comprising: obtaining a first artemisinin extraction raw material; obtaining first extraction temperature information; obtaining first extraction pressure information; taking the first extracted temperature information as first input information; taking the first extraction pressure information as second input information; inputting the first input information and the second input information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first input information, the second input information, and identification information identifying extraction purity; obtaining a first output result of the first training model, the first output result comprising extraction purity information of a first artemisinin extraction raw material; obtaining a predetermined purity threshold; determining whether the extracted purity information is within the predetermined purity threshold; obtaining a first fetch instruction if the fetch purity information is within the predetermined purity threshold; and extracting the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information.
In another aspect, the present application also provides an apparatus for improving the purity of artemisinin extraction, comprising: a first obtaining unit for obtaining a first artemisinin extraction raw material; a second obtaining unit for obtaining first extraction temperature information; a third obtaining unit for obtaining first extraction pressure information; a fourth obtaining unit configured to take the first extraction temperature information as first input information; a fifth obtaining unit configured to take the first extraction pressure information as second input information; a first input unit, configured to input the first input information and the second input information into a first training model, where the first training model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: the first input information, the second input information, and identification information identifying extraction purity; a sixth obtaining unit, configured to obtain a first output result of the first training model, where the first output result includes extraction purity information of a first artemisinin extraction raw material; a seventh obtaining unit for obtaining a predetermined purity threshold; a first judgment unit configured to judge whether the extracted purity information is within the predetermined purity threshold; an eighth obtaining unit for obtaining a first extraction instruction if the extraction purity information is within the predetermined purity threshold; a first extraction unit, configured to extract, according to the first extraction instruction information, the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information.
In a third aspect, the present invention provides an apparatus for improving the purity of artemisinin extraction, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method of the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
because the extraction temperature and pressure are used as input information and input into a first training model, identification information of the extraction purity of the artemisinin is obtained based on the characteristic that the training model continuously corrects and adjusts, when the extraction purity of the artemisinin meets a preset purity threshold, a first extraction instruction is obtained, the first artemisinin extraction raw material is extracted according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction, and the artemisinin extraction temperature and pressure are controlled, so that the technical effect of obtaining the artemisinin with higher purity is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a method for increasing the purity of artemisinin extraction according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an apparatus for increasing the purity of artemisinin extraction according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a first input unit 16, a sixth obtaining unit 17, a seventh obtaining unit 18, a first judging unit 19, an eighth obtaining unit 20, a first extracting unit 21, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides the method and the device for improving the extraction purity of the artemisinin, solves the technical problem of low extraction purity of the artemisinin in the prior art, and achieves the technical effect of improving the extraction purity of the artemisinin. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The artemisinin is the best drug for treating the drug resistance of malaria, and with the continuous and deep research in recent years, other effects of the artemisinin are discovered and applied to research, such as anti-tumor, treatment of pulmonary hypertension, anti-diabetes and the like, but the technical problem of low extraction purity of the artemisinin exists in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a method for improving the extraction purity of artemisinin, which comprises the following steps: obtaining a first artemisinin extraction raw material; obtaining first extraction temperature information; obtaining first extraction pressure information; taking the first extracted temperature information as first input information; taking the first extraction pressure information as second input information; inputting the first input information and the second input information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first input information, the second input information, and identification information identifying extraction purity; obtaining a first output result of the first training model, the first output result comprising extraction purity information of a first artemisinin extraction raw material; obtaining a predetermined purity threshold; determining whether the extracted purity information is within the predetermined purity threshold; obtaining a first fetch instruction if the fetch purity information is within the predetermined purity threshold; and extracting the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method for improving the extraction purity of artemisinin, wherein the method comprises:
step S100: obtaining a first artemisinin extraction raw material;
specifically, the extraction raw material of the artemisinin is the whole herb of the artemisia annua, and basic information of the whole herb of the artemisia annua to be subjected to artemisinin extraction is obtained.
Step S200: obtaining first extraction temperature information;
specifically, the extraction temperature is temperature information of an extraction environment in the process of extracting artemisinin from the raw material, and the acquisition of the extraction temperature information provides a foundation for accurately regulating and controlling the extraction temperature subsequently and further obtaining temperature tamping capable of improving the extraction purity of artemisinin.
Step S300: obtaining first extraction pressure information;
specifically, the first extraction pressure information is pressure information in the artemisinin extraction process, and a foundation is laid for adjusting the pressure information and improving the dissolution selectivity of the artemisinin through obtaining the pressure information.
Step S400: taking the first extracted temperature information as first input information;
step S500: taking the first extraction pressure information as second input information;
step S600: inputting the first input information and the second input information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first input information, the second input information, and identification information identifying extraction purity;
specifically, the first training model is a Neural network model, which is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), which reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. And inputting the first input information and the second input information into a neural network model through training of a large amount of training data, and outputting the extraction purity information of the first artemisinin extraction raw material.
Still further, the training process is substantially a supervised learning process, each set of supervised data includes the first input information, the second input information, and identification information identifying extraction purity, the first input information and the second input information are input into a neural network model, and combined information of extraction temperature and extraction pressure is obtained according to the identification information identifying extraction purity. The neural network model is continuously self-corrected and adjusted until the combination of the extraction temperature and the extraction pressure with the highest extraction purity is obtained, the group of data supervised learning is finished, and the next group of data supervised learning is carried out; and when the output information of the neural network model reaches the preset accuracy rate/reaches the convergence state, finishing the supervised learning process. Through supervised learning of the neural network model, the neural network model can process the input data more accurately, the output extraction purity information of the first artemisinin extraction raw material is more reasonable, the obtained extraction temperature and extraction pressure are more reasonable, and the artemisinin with higher purity can be obtained.
Step S700: obtaining a first output result of the first training model, the first output result comprising extraction purity information of a first artemisinin extraction raw material;
step S800: obtaining a predetermined purity threshold;
specifically, a preset purity threshold value is obtained according to a first output result of the first training model, and when the extraction purity of the first artemisinin of the first output result meets the preset purity threshold value, extraction temperature information and extraction pressure information of the first output result are saved.
Step S900: determining whether the extracted purity information is within the predetermined purity threshold;
step S1000: obtaining a first fetch instruction if the fetch purity information is within the predetermined purity threshold;
step S1100: and extracting the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information.
Specifically, when the extraction purity is within a preset purity threshold, a first extraction instruction is obtained, and according to the first extraction instruction, the first artemisinin extraction raw material is extracted according to the first extraction temperature information and the first extraction pressure information, so that the technical effect of obtaining artemisinin with higher purity is achieved.
Further, before obtaining the first artemisinin extraction raw material, step S100 in the embodiment of the present application further includes:
step S110: obtaining the water content information of the first artemisinin extraction raw material;
step S120: obtaining a predetermined moisture content threshold;
step S130: judging whether the water content information of the first artemisinin extraction raw material is within the preset water content threshold value;
step S140: and if the water content information of the first artemisinin extraction raw material is within the preset water content threshold value, obtaining the first artemisinin extraction raw material.
Specifically, the water content of the raw material for extracting artemisinin can affect the extraction purity of the first artemisinin. Obtaining water content information of the first artemisinin extraction raw material, obtaining a water content threshold of the first artemisinin extraction raw material, wherein the water content threshold is a water content threshold obtained through a large number of experiments, judging whether the water content information of the first artemisinin extraction raw material is within the water content threshold, and if the water content information of the first artemisinin extraction raw material is within the preset water content threshold, obtaining the first artemisinin extraction raw material, wherein the extraction raw material can be directly used for extraction of artemisinin. The water content of the artemisinin extraction raw material is limited, so that the raw material with the water content meeting the preset standard is obtained, and the technical effect of improving the artemisinin extraction purity is achieved.
Further, step S130 in the embodiment of the present application further includes:
step S131: if the water content information of the first artemisinin extraction raw material is not within the preset water content threshold value, obtaining a first crushing instruction;
step S132: and crushing the first artemisinin extraction raw material according to the first crushing instruction to obtain a crushed first artemisinin extraction raw material.
Specifically, when the water content information is not within the preset water content threshold, a first crushing instruction is obtained, and the first artemisinin is crushed according to the first crushing instruction, so that the crushed artemisinin extraction raw material is obtained. The contact area of the extraction raw materials is increased by crushing the extraction raw materials of the artemisinin, so that higher extraction purity can be obtained.
Further, step S132 in the embodiment of the present application further includes:
step S1321: obtaining a predetermined granularity threshold;
step S1322: obtaining characteristic information of the raw material according to the first artemisinin extraction raw material;
step S1323: determining crushing granularity information of the first artemisinin extraction raw material according to the raw material characteristic information and the preset granularity threshold value;
step S1324: and crushing the first artemisinin extraction raw material according to the crushing granularity information.
Specifically, the predetermined particle size threshold is 2mm, and the crushing particle size information of the first artemisinin extraction raw material is determined according to the predetermined particle size threshold and the characteristics of the first artemisinin raw material, further, the characteristics of the first artemisinin raw material include information of water content of the raw material, pre-soaking degree and the like. And crushing the raw material according to the determined crushing granularity information of the raw material of the first artemisinin. By means of the refinement analysis of the crushing treatment of the artemisinin raw material, the technical effects of shortening the extraction time, improving the artemisinin yield and improving the artemisinin purity are achieved.
Further, in the step S800 of obtaining the predetermined purity threshold, the method further includes:
step S810: acquiring first disease condition information of a first user;
step S820: obtaining first purity information;
step S830: inputting the first state of illness information and the first purity information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first condition information, the first purity information, and identification information identifying a treatment effect;
step S840: obtaining a second output of the second training model, the second output including treatment effect information of a first purity for the first medical condition;
step S850: and obtaining the preset purity threshold value information according to the second output result and the first purity information.
Specifically, the therapeutic effect of artemisinin with different purity is different according to different disease conditions. Inputting the first illness state information and the first purity information into a second training model, wherein the second training model is a convolutional neural network model, and description is not repeated, the second training model is obtained by training a plurality of groups of training data, and the plurality of groups of training data comprise the first illness state information, the first purity information and identification information for identifying treatment effect; and obtaining treatment effect information of first purity aiming at the first disease condition according to the treatment condition of the disease condition, and obtaining preset purity threshold information according to the second output result and the first purity information. And acquiring more accurate treatment effect information of the artemisinin with different purities on different disease conditions by inputting the first disease condition information and the first purity information into the second training model and based on the characteristic of continuous self-correction and adjustment of the training model, and acquiring a preset purity threshold according to the treatment effect.
Further, said obtaining the predetermined purity threshold information according to the second output result and the first purity information, in step S850 in this embodiment of the present application, further includes:
step S851: obtaining a predetermined therapeutic effect threshold;
step S852: obtaining first treatment effect information within the predetermined treatment effect threshold according to the second output result;
step S853: obtaining a first set of purity information corresponding to the first therapeutic effect;
step S854: obtaining the predetermined purity threshold information according to the first purity information set.
Specifically, the predetermined therapeutic effect threshold is a first expected therapeutic effect threshold established according to the difference of the disease conditions of the patient, the set information of the first purity within the therapeutic effect threshold is obtained according to the second output result, in detail, the artemisinin purity which can achieve the therapeutic effect is counted, and the predetermined purity threshold is obtained according to the statistical result. The technical effect of optimal artemisinin purity suitable for patients is obtained by adjusting the preset purity threshold value according to different disease conditions of the patients.
Further, the embodiment of the present application further includes:
step 1210: obtaining tolerance information of the first user to artemisinin;
step S1220: obtaining a first influence parameter according to the tolerance information;
step S1230: and adjusting the extraction purity information of the first artemisinin extraction raw material according to the first influence parameter.
Specifically, the tolerance refers to a state of decreased responsiveness of the human body to the drug, and further, for a user who does not use artemisinin for the first time, the predetermined therapeutic effect threshold may be different according to different constitutions of the individual, in order to reduce the influence possibly caused by the difference, a first influence parameter is generated, and according to the first influence parameter, the extraction purity information of the extraction raw material of the first artemisinin is adjusted, so that the purity of the obtained artemisinin can achieve the technical effect of the expected therapeutic effect.
Further, step S600 in the embodiment of the present application further includes:
step S610: obtaining first training data, second training data and Nth training data which are input into the first training model, wherein N is a natural number larger than 1;
step S620: generating first identification codes according to the first training data, wherein the first identification codes correspond to the first training data one by one;
step S630: generating a second identification code according to the second training data and the first identification code, and generating an Nth identification code according to the Nth training data and the (N-1) th identification code by analogy;
step S640: and copying and storing the training data and the identification code on M electronic devices, wherein M is a natural number greater than 1.
In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Generating first identification codes according to the first training data, wherein the first identification codes correspond to the first training data one to one; generating a second identification code according to the second training data and the first identification code, wherein the second identification code corresponds to the second training data one to one; and in the same way, generating an Nth identification code according to the Nth training data and the Nth-1 identification code, wherein N is a natural number greater than 1. Respectively copying and storing all training data and identification codes on M devices, wherein the first training data and the first identification code are stored on one device as a first storage unit, the second training data and the second identification code are stored on one device as a second storage unit, the Nth training data and the Nth identification code are stored on one device as an Nth storage unit, when the training data needs to be called, after each subsequent node receives data stored by the previous node, the data are checked through a common identification mechanism and stored, each storage unit is connected in series through a Hash function, so that the training data are not easy to lose and damage, the training data are encrypted through logic of a block chain, the safety of the training data are guaranteed and are stored on a plurality of devices, and the data stored on the devices are processed through the common identification mechanism, the safety of training data is further guaranteed, the accuracy of the first training model obtained through training of the training data is further guaranteed, the extraction purity information of the output first artemisinin extraction raw material is more reasonable, the obtained extraction temperature and extraction pressure are more reasonable, and the technical effect of obtaining artemisinin with higher purity is further achieved.
In summary, the method and the device for improving the extraction purity of artemisinin provided by the embodiment of the application have the following technical effects:
1. because the extraction temperature and pressure are used as input information and input into a first training model, identification information of the extraction purity of the artemisinin is obtained based on the characteristic that the training model continuously corrects and adjusts, when the extraction purity of the artemisinin meets a preset purity threshold, a first extraction instruction is obtained, the first artemisinin extraction raw material is extracted according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction, and the artemisinin extraction temperature and pressure are controlled, so that the technical effect of obtaining the artemisinin with higher purity is achieved.
2. Because the water content of the artemisinin extraction raw material is limited, the raw material with the water content meeting the preset standard is obtained, and the technical effect of improving the artemisinin extraction purity is achieved.
3. The method adjusts the preset purity threshold value according to the different disease conditions of patients, thereby obtaining the technical effect of optimal artemisinin purity suitable for patients.
Example two
Based on the same inventive concept as the method for improving the extraction purity of artemisinin in the previous embodiment, the invention also provides a device for improving the extraction purity of artemisinin, as shown in fig. 2, the device comprises:
a first obtaining unit 11, said first obtaining unit 11 being configured to obtain a first artemisinin extraction raw material;
a second obtaining unit 12, the second obtaining unit 12 being configured to obtain first extraction temperature information;
a third obtaining unit 13, the third obtaining unit 13 being configured to obtain first extraction pressure information;
a fourth obtaining unit 14, wherein the fourth obtaining unit 14 is configured to use the first extraction temperature information as first input information;
a fifth obtaining unit 15, the fifth obtaining unit 15 being configured to take the first extraction pressure information as second input information;
a first input unit 16, where the first input unit 16 is configured to input the first input information and the second input information into a first training model, where the first training model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: the first input information, the second input information, and identification information identifying extraction purity;
a sixth obtaining unit 17, the sixth obtaining unit 17 being configured to obtain a first output result of the first training model, the first output result including extraction purity information of the first artemisinin extraction raw material;
a seventh obtaining unit 18, said seventh obtaining unit 18 being configured to obtain a predetermined purity threshold;
a first judging unit 19, the first judging unit 19 being configured to judge whether the extraction purity information is within the predetermined purity threshold;
an eighth obtaining unit 20, said eighth obtaining unit 20 being configured to obtain a first extraction instruction if said extraction purity information is within said predetermined purity threshold;
a first extraction unit 21, wherein the first extraction unit 21 is configured to extract the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information.
Further, the apparatus further comprises:
a ninth obtaining unit, configured to obtain water content information of the first artemisinin extraction raw material;
a tenth obtaining unit for obtaining a predetermined moisture content threshold;
a second judging unit, configured to judge whether the water content information of the first artemisinin extraction raw material is within the predetermined water content threshold;
an eleventh obtaining unit, configured to obtain a first artemisinin extraction raw material if the moisture content information of the first artemisinin extraction raw material is within the predetermined moisture content threshold;
further, the apparatus further comprises:
a twelfth obtaining unit, configured to obtain a first crushing instruction if the moisture content information of the first artemisinin extraction raw material is not within the predetermined moisture content threshold;
a thirteenth obtaining unit, configured to, according to the first crushing instruction, crush the first artemisinin extraction raw material to obtain a crushed first artemisinin extraction raw material.
Further, the apparatus further comprises:
a fourteenth obtaining unit, configured to obtain a predetermined granularity threshold;
a fifteenth obtaining unit, configured to obtain material characteristic information according to the first artemisinin extraction material;
a first determination unit for determining crushing particle size information of the first artemisinin extraction raw material according to the raw material characteristic information and the predetermined particle size threshold;
the first processing unit is used for carrying out crushing treatment on the first artemisinin extraction raw material according to the crushing granularity information.
Further, the apparatus further comprises:
a sixteenth obtaining unit, configured to obtain first disease information of the first user;
a seventeenth obtaining unit for obtaining first purity information;
a second input unit, configured to input the first illness state information and the first purity information into a second training model, where the second training model is obtained by training multiple sets of training data, and each set of the multiple sets of training data includes: the first condition information, the first purity information, and identification information identifying a treatment effect;
an eighteenth obtaining unit, configured to obtain a second output result of the second training model, where the second output result includes treatment effect information of a first purity for the first disease state;
a nineteenth obtaining unit, configured to obtain the predetermined purity threshold information according to the second output result, the first purity information.
Further, the apparatus further comprises:
a twentieth obtaining unit for obtaining a predetermined therapeutic effect threshold;
a twenty-first obtaining unit, configured to obtain, according to the second output result, first treatment effect information within the predetermined treatment effect threshold;
a twenty-second obtaining unit for obtaining a first set of purity information corresponding to the first therapeutic effect;
a twenty-third obtaining unit for obtaining the predetermined purity threshold information from the first set of purity information.
Further, the apparatus further comprises:
a twenty-fourth obtaining unit for obtaining tolerance information of the first user to artemisinin;
a twenty-fifth obtaining unit, configured to obtain a first influence parameter according to the tolerance information;
and the first adjusting unit is used for adjusting the extraction purity information of the first artemisinin extraction raw material according to the first influence parameter.
Various modifications and embodiments of the method for improving the extraction purity of artemisinin in the first embodiment of fig. 1 are also applicable to the apparatus for improving the extraction purity of artemisinin in the second embodiment of the present invention, and the method for implementing the apparatus for improving the extraction purity of artemisinin in the second embodiment of the present invention is clear to those skilled in the art from the foregoing detailed description of the method for improving the extraction purity of artemisinin, and therefore, for the sake of brevity of the description, will not be described in detail herein.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a method for improving the extraction purity of artemisinin, as in the previous embodiment, the present invention further provides a device for improving the extraction purity of artemisinin, on which a computer program is stored, which program, when executed by a processor, implements the steps of any one of the methods for improving the extraction purity of artemisinin described above.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The method for improving the extraction purity of the artemisinin comprises the following steps: obtaining a first artemisinin extraction raw material; obtaining first extraction temperature information; obtaining first extraction pressure information; taking the first extracted temperature information as first input information; taking the first extraction pressure information as second input information; inputting the first input information and the second input information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first input information, the second input information, and identification information identifying extraction purity; obtaining a first output result of the first training model, the first output result comprising extraction purity information of a first artemisinin extraction raw material; obtaining a predetermined purity threshold; determining whether the extracted purity information is within the predetermined purity threshold; obtaining a first fetch instruction if the fetch purity information is within the predetermined purity threshold; and extracting the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information. Solves the technical problem of low extraction purity of the artemisinin in the prior art, and achieves the technical effect of improving the extraction purity of the artemisinin.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A method for improving the purity of artemisinin extraction, wherein the method comprises:
obtaining a first artemisinin extraction raw material;
obtaining first extraction temperature information;
obtaining first extraction pressure information;
taking the first extracted temperature information as first input information;
taking the first extraction pressure information as second input information;
inputting the first input information and the second input information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first input information, the second input information, and identification information identifying extraction purity;
obtaining a first output result of the first training model, the first output result comprising extraction purity information of a first artemisinin extraction raw material;
obtaining a predetermined purity threshold;
determining whether the extracted purity information is within the predetermined purity threshold;
obtaining a first fetch instruction if the fetch purity information is within the predetermined purity threshold;
and extracting the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information according to the first extraction instruction information.
2. The method of claim 1, wherein prior to obtaining the first artemisinin extraction starting material, comprises:
obtaining the water content information of the first artemisinin extraction raw material;
obtaining a predetermined moisture content threshold;
judging whether the water content information of the first artemisinin extraction raw material is within the preset water content threshold value;
and if the water content information of the first artemisinin extraction raw material is within the preset water content threshold value, obtaining the first artemisinin extraction raw material.
3. The method of claim 2, wherein the method comprises:
if the water content information of the first artemisinin extraction raw material is not within the preset water content threshold value, obtaining a first crushing instruction;
and crushing the first artemisinin extraction raw material according to the first crushing instruction to obtain a crushed first artemisinin extraction raw material.
4. The method of claim 3, wherein the method comprises:
obtaining a predetermined granularity threshold;
obtaining characteristic information of the raw material according to the first artemisinin extraction raw material;
determining crushing granularity information of the first artemisinin extraction raw material according to the raw material characteristic information and the preset granularity threshold value;
and crushing the first artemisinin extraction raw material according to the crushing granularity information.
5. The method of claim 1, wherein said obtaining a predetermined purity threshold comprises:
acquiring first disease condition information of a first user;
obtaining first purity information;
inputting the first state of illness information and the first purity information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the first condition information, the first purity information, and identification information identifying a treatment effect;
obtaining a second output of the second training model, the second output including treatment effect information of a first purity for the first medical condition;
and obtaining the preset purity threshold value information according to the second output result and the first purity information.
6. The method of claim 5, wherein said obtaining the predetermined purity threshold information from the first purity information based on the second output comprises:
obtaining a predetermined therapeutic effect threshold;
obtaining first treatment effect information within the predetermined treatment effect threshold according to the second output result;
obtaining a first set of purity information corresponding to the first therapeutic effect;
obtaining the predetermined purity threshold information according to the first purity information set.
7. The method of claim 6, wherein the method comprises:
obtaining tolerance information of the first user to artemisinin;
obtaining a first influence parameter according to the tolerance information;
and adjusting the extraction purity information of the first artemisinin extraction raw material according to the first influence parameter.
8. An apparatus for improving the purity of artemisinin extraction, wherein the apparatus comprises:
a first obtaining unit for obtaining a first artemisinin extraction raw material;
a second obtaining unit for obtaining first extraction temperature information;
a third obtaining unit for obtaining first extraction pressure information;
a fourth obtaining unit configured to take the first extraction temperature information as first input information;
a fifth obtaining unit configured to take the first extraction pressure information as second input information;
a first input unit, configured to input the first input information and the second input information into a first training model, where the first training model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: the first input information, the second input information, and identification information identifying extraction purity;
a sixth obtaining unit, configured to obtain a first output result of the first training model, where the first output result includes extraction purity information of a first artemisinin extraction raw material;
a seventh obtaining unit for obtaining a predetermined purity threshold;
a first judgment unit configured to judge whether the extracted purity information is within the predetermined purity threshold;
an eighth obtaining unit for obtaining a first extraction instruction if the extraction purity information is within the predetermined purity threshold;
a first extraction unit, configured to extract, according to the first extraction instruction information, the first artemisinin extraction raw material according to the first extraction temperature information and the first extraction pressure information.
9. An apparatus for increasing the purity of artemisinin extraction, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the apparatus of any one of claims 1 to 7 when executing the program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011162172.0A CN112159415A (en) | 2020-10-27 | 2020-10-27 | Method and device for improving artemisinin extraction purity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011162172.0A CN112159415A (en) | 2020-10-27 | 2020-10-27 | Method and device for improving artemisinin extraction purity |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112159415A true CN112159415A (en) | 2021-01-01 |
Family
ID=73864736
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011162172.0A Pending CN112159415A (en) | 2020-10-27 | 2020-10-27 | Method and device for improving artemisinin extraction purity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112159415A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818154A (en) * | 2021-01-27 | 2021-05-18 | 广西融安蚂蚁农业发展有限公司 | Method and device for efficiently treating surface of fruit |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110352660A (en) * | 2019-07-12 | 2019-10-22 | 塔里木大学 | A kind of ginning cotton seed vigor Fast nondestructive evaluation information processing method and device |
| CN110404688A (en) * | 2019-07-12 | 2019-11-05 | 塔里木大学 | A kind of machine pick cotton information processing method miscellaneous clearly and device merging electrostatic and wind-force |
| CN110503641A (en) * | 2019-08-22 | 2019-11-26 | 联峰钢铁（张家港）有限公司 | A kind of method and apparatus improving continuous casting billet face crack |
| CN110533032A (en) * | 2019-08-22 | 2019-12-03 | 江苏联峰实业有限公司 | A kind of method and apparatus obtaining high-purity cryogenic steel |
| CN111695765A (en) * | 2020-04-30 | 2020-09-22 | 首钢京唐钢铁联合有限责任公司 | Monitoring method, device and system for product quality of galvanizing production line |
-
2020
- 2020-10-27 CN CN202011162172.0A patent/CN112159415A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110352660A (en) * | 2019-07-12 | 2019-10-22 | 塔里木大学 | A kind of ginning cotton seed vigor Fast nondestructive evaluation information processing method and device |
| CN110404688A (en) * | 2019-07-12 | 2019-11-05 | 塔里木大学 | A kind of machine pick cotton information processing method miscellaneous clearly and device merging electrostatic and wind-force |
| CN110503641A (en) * | 2019-08-22 | 2019-11-26 | 联峰钢铁（张家港）有限公司 | A kind of method and apparatus improving continuous casting billet face crack |
| CN110533032A (en) * | 2019-08-22 | 2019-12-03 | 江苏联峰实业有限公司 | A kind of method and apparatus obtaining high-purity cryogenic steel |
| CN111695765A (en) * | 2020-04-30 | 2020-09-22 | 首钢京唐钢铁联合有限责任公司 | Monitoring method, device and system for product quality of galvanizing production line |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818154A (en) * | 2021-01-27 | 2021-05-18 | 广西融安蚂蚁农业发展有限公司 | Method and device for efficiently treating surface of fruit |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11887300B2 (en) | Method and apparatus for classifying a brain anomaly based on a 3D MRI image | |
| CN112086166B (en) | Orthopedic patient skin traction nursing method and system | |
| CN112734746A (en) | Orthopedic injury spectrum matching system and method based on image recognition | |
| CN112289423A (en) | Method and system for double-diagnosis and rehabilitation based on intelligent community patients | |
| CN112159415A (en) | Method and device for improving artemisinin extraction purity | |
| CN112309578B (en) | Method and system for improving recovery efficiency of osteoporotic vertebral fracture patient | |
| CN112998657A (en) | Method and system for preventing skin allergy | |
| CN112185530A (en) | Hospital queuing management method and system | |
| CN111631682A (en) | Physiological feature integration method and device based on trend-removing analysis and computer equipment | |
| Pancerz et al. | Determining importance of ranges of MMPI scales using fuzzification and relevant attribute selection | |
| Bernard et al. | Diabetes, complications and limit cycles | |
| Zaghloul et al. | Adaptive neural matching online spike sorting VLSI chip design for wireless BCI implants | |
| CN112116967B (en) | Information processing method and device for improving urine sample collection efficiency | |
| CN112309513A (en) | Method and device for detecting effectiveness of artemisinin extraction method | |
| CN112348184A (en) | Method and device for detecting purity of artemisinin | |
| CN111354364B (en) | Voiceprint recognition method and system based on RNN aggregation mode | |
| EP4141749A1 (en) | Adjustment program, adjustment method, and information processing device | |
| CN109617871B (en) | Network node immunization method based on community structure information and threshold | |
| CN112102915A (en) | Intelligent control method and device for nutrient solution intake | |
| CN112489720A (en) | Intelligent preparation method and device of compound peptide for improving sleep quality | |
| CN112652379A (en) | System and method for automatically generating nutrition treatment scheme for renal failure patient | |
| CN112309527A (en) | Big data based medical record statistical management method and system | |
| CN111598105A (en) | Patent map construction method and device | |
| Castellano et al. | Diagnosis of dermatological diseases by a neuro-fuzzy system. | |
| CN113297993B (en) | Neural stimulation signal determination apparatus and method |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210101 |
|
| RJ01 | Rejection of invention patent application after publication |