CN112348184A - Method and device for detecting purity of artemisinin - Google Patents
Method and device for detecting purity of artemisinin Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting the purity of artemisinin, wherein the method comprises the following steps: obtaining first parameter information of first purification equipment; obtaining first planting environment information of a first artemisia annua material; constructing a first training data set according to the first parameter information and the first planting environment information; inputting the first training data set into a first neural network model; obtaining output information of the first neural network model; according to the first result, obtaining first purity information of the artemisinin according to a preset strategy; acquiring preset standard parameter information; obtaining a first precision of the first purification equipment according to the first parameter information and preset standard parameter information so as to obtain a first adjustment instruction; and adjusting the first purity information according to the first adjusting instruction to obtain second purity information. Solves the technical problem of inaccurate and high-efficiency artemisinin purity detection caused by external factors.
Description
Technical Field
The invention relates to the field of artemisinin, in particular to a method and a device for detecting purity of artemisinin.
Background
Artemisia annua is dry aerial parts of Artemisia annua of Compositae, artemisinin is extracted from Artemisia annua, and the Artemisia annua has strong activity, and due to good antipyretic effect, the Artemisia annua is widely used for treating malaria in clinic at present, and has strong medicinal effect in other aspects (such as anti-inflammation and immunity enhancement).
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:
after the extraction of the artemisinin, the purity of the artemisinin is detected due to external factors such as environment and equipment, so that the artemisinin purity detection effect is poor.
Disclosure of Invention
The embodiment of the application provides a method and a device for detecting the purity of artemisinin, solves the technical problem of inaccurate and efficient artemisinin purity detection caused by external factors, and achieves the technical effect of ensuring accurate and efficient artemisinin purity detection by controlling external factors such as equipment and temperature in the detection process.
The embodiment of the application provides a method for detecting the purity of artemisinin, wherein the method further comprises the following steps: acquiring first parameter information of first purification equipment, wherein the first purification equipment is extraction equipment; obtaining first planting environment information of a first artemisia annua material; constructing a first training data set according to the first parameter information and the first planting environment information; inputting the first training data set into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first parameter information, first planting environment information and identification information identifying the first result; obtaining output information of the first neural network model, wherein the output information comprises the first result, and the first result comprises artemisinin information obtained after purification; according to the first result, obtaining first purity information of the artemisinin according to a preset strategy; acquiring preset standard parameter information; obtaining first precision of the first purification equipment according to the first parameter information and preset standard parameter information; obtaining a first adjusting instruction according to the first precision; and adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
In another aspect, the present application further provides a device for detecting purity of artemisinin, wherein the device comprises: a first obtaining unit: the first obtaining unit is used for obtaining first parameter information of first purifying equipment, wherein the first purifying equipment is extracting equipment; a second obtaining unit: the second obtaining unit is used for obtaining first planting environment information of the first artemisia annua material; a first building unit: the first construction unit is used for constructing a first training data set according to the first parameter information and the first planting environment information; a first input unit: the first input unit is configured to input the first training data set into a first neural network model, where the first neural network model is trained using multiple sets of training data, and each set of training data in the multiple sets includes: first parameter information, first planting environment information and identification information identifying the first result; a third obtaining unit: the third obtaining unit is configured to obtain output information of the first neural network model, where the output information includes the first result, and the first result includes artemisinin information obtained after purification; a fourth obtaining unit: the fourth obtaining unit is used for obtaining first purity information of the artemisinin according to a preset strategy according to the first result; a fifth obtaining unit: the fifth obtaining unit is used for obtaining preset standard parameter information; a sixth obtaining unit: the sixth obtaining unit is configured to obtain a first accuracy of the first purification apparatus according to the first parameter information and preset standard parameter information; a seventh obtaining unit: the seventh obtaining unit is configured to obtain a first adjustment instruction according to the first precision; a first adjusting unit: the first adjusting unit is used for adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the parameter information of the first purification equipment and the planting environment information of the artemisia annua material are obtained and input into the first neural network model for continuous training, so that the output result is more accurate, the output artemisinin information obtained after purification is more accurate, and the technical effect of more effective and reliable detection of artemisinin purity is further ensured.
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 detecting purity of artemisinin according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an apparatus for detecting artemisinin purity 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 first constructing unit 13, a first input unit 14, a third obtaining unit 15, a fourth obtaining unit 16, a fifth obtaining unit 17, a sixth obtaining unit 18, a seventh obtaining unit 19, a first adjusting unit 20, 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 a method and a device for detecting the purity of artemisinin, solves the technical problem of inaccurate and efficient artemisinin purity detection caused by external factors, and achieves the technical effect of ensuring accurate and efficient artemisinin purity detection by controlling external factors such as equipment and temperature in the detection process.
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
Artemisia annua is dry aerial parts of Artemisia annua of Compositae, artemisinin is extracted from Artemisia annua, and the Artemisia annua has strong activity, and due to good antipyretic effect, the Artemisia annua is widely used for treating malaria in clinic at present, and has strong medicinal effect in other aspects (such as anti-inflammation and immunity enhancement). After the extraction of the artemisinin, the purity of the artemisinin is detected due to external factors such as environment and equipment, so that the artemisinin purity detection effect is poor.
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 detecting the purity of artemisinin, wherein the method further comprises the following steps: acquiring first parameter information of first purification equipment, wherein the first purification equipment is extraction equipment; obtaining first planting environment information of a first artemisia annua material; constructing a first training data set according to the first parameter information and the first planting environment information; inputting the first training data set into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first parameter information, first planting environment information and identification information identifying the first result; obtaining output information of the first neural network model, wherein the output information comprises the first result, and the first result comprises artemisinin information obtained after purification; according to the first result, obtaining first purity information of the artemisinin according to a preset strategy; acquiring preset standard parameter information; obtaining first precision of the first purification equipment according to the first parameter information and preset standard parameter information; obtaining a first adjusting instruction according to the first precision; and adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Example one
As shown in fig. 1, the present application provides a method for detecting purity of artemisinin, wherein the method further includes:
step S100: acquiring first parameter information of first purification equipment, wherein the first purification equipment is extraction equipment;
specifically, the first extraction device is device information for extracting artemisinin, and the first parameter information is related parameter information of the device for extracting artemisinin, and includes device accuracy and other information.
Step S200: obtaining first planting environment information of a first artemisia annua material;
specifically, the first artemisia annua material is an annual herbaceous plant of the artemisia genus of the family of dicotyledonae, the artemisia annua is used as a medicine for clearing heat, relieving summer heat, preventing malaria and cooling blood, and is also used as an external medicine, wherein artemisinin is a main effective component of the artemisia annua and is a main medicinal material for treating malaria, and the first planting environment information is planting information of the first artemisia annua material and comprises planted soil quality, producing area information, temperature and humidity information and the like.
Step S300: constructing a first training data set according to the first parameter information and the first planting environment information;
specifically, given the first parameter information and the first planting environment information, a first training data set can be constructed according to the first parameter information and the first planting environment information, and the first training data set is continuously trained, so that the output result is more accurate.
Step S400: inputting the first training data set into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first parameter information, first planting environment information and identification information identifying the first result;
step S500: obtaining output information of the first neural network model, wherein the output information comprises the first result, and the first result comprises artemisinin information obtained after purification;
specifically, the first training data set may be input into a first Neural network model, which is a model for continuous self-training learning according to training data, and further, the 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. Training based on a large amount of training data, wherein each set of training data in the training data comprises first parameter information, first planting environment information and identification information for identifying a first result, the neural network model is continuously corrected by itself, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is ended. Through data training of the neural network model, the neural network model can process the input data more accurately, and the output first result is more accurate. And inputting the first training data set into a first neural network model based on the characteristic that the training model is more accurate in data processing after training, and accurately obtaining a first result, namely the purified artemisinin information through the output information of the training model, so that the judgment result is more accurate, and the technical effect of accurately obtaining the purified artemisinin information is achieved.
Step S600: according to the first result, obtaining first purity information of the artemisinin according to a preset strategy;
specifically, the first result is artemisinin information obtained after purification, the preset strategy is further refining the artemisinin information obtained after purification, and then first purity information is obtained, and the first purity information of artemisinin is artemisinin purity information after refining.
Step S700: acquiring preset standard parameter information;
specifically, the preset standard parameter information is preset parameter information of the first purification device, and the actual parameter information of the first purification device can be corrected by obtaining the preset standard parameter information.
Step S800: obtaining first precision of the first purification equipment according to the first parameter information and preset standard parameter information;
specifically, the first accuracy is accuracy information of the first purification device, and can be obtained according to the first parameter information and preset standard parameter information, and by obtaining the first accuracy of the first purification device, purity information of artemisinin extraction using the device can be further judged.
Step S900: obtaining a first adjusting instruction according to the first precision;
step S1000: and adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
Specifically, the first adjustment instruction is to adjust the parameter information of the first purification device, so that the accuracy of the first purification device is higher, and the second purity information is the purity information of the artemisinin obtained by purification after the parameter information of the first purification device is adjusted.
The step S200 of obtaining first planting environment information of the first artemisia annua material further includes:
step S210: obtaining first geographical location information of the first artemisia annua material;
step S220: obtaining a first collection time for the first artemisia annua material;
step S230: obtaining first climate information according to the first geographical position information and first acquisition time, wherein the first climate information comprises at least one of first precipitation information, first air temperature information, first illumination information and first wind power information;
step S240: obtaining first cultivation information of the first artemisia annua material;
step S250: and obtaining first planting environment information of the first artemisia annua material according to the first climate information, the first geographical position information and the first cultivation information.
Specifically, first planting environment information of a first artemisia annua material is obtained, first geographical position information of the first artemisia annua material can be obtained, the first geographical position information comprises information of a planting place, an altitude, a temperature and humidity, soil pH value and the like of the artemisia annua material, first collection time of the first artemisia annua material can be obtained, the first collection time is the time for collecting the artemisia annua material after the artemisia annua material is mature, first climatic information can be obtained according to the first geographical position information and the first collection time, the first climatic information comprises at least one of first rainfall information, first air temperature information, first illumination information and first wind power information, in addition, first cultivation information of the first artemisia annua material can be obtained, and the first cultivation information is cultivation technology of the artemisia annua material, The first planting environment information of the first artemisia annua material can be finally obtained according to the first climate information, the first geographical position information and the first planting information, and the technical effect of accurately obtaining the planting environment information of the artemisia annua material is achieved by comprehensively obtaining the geographical position, the acquisition time, the climate information and the planting information of the artemisia annua material.
Before the obtaining the first purity information of the artemisinin according to the first result and the preset policy, step S600 further includes:
step S610: obtaining first image information of a purified environment;
step S620: acquiring preset environment requirement information;
step S630: judging whether the first image information meets the preset environment requirement information or not;
step S640: when the first image information does not meet the preset environment requirement information, a second adjusting instruction is obtained;
step S650: and adjusting the first image information according to the second adjusting instruction so that the first image information meets the preset environment requirement information.
Specifically, before first purity information of the artemisinin is obtained according to a preset strategy, first image information of a purification environment can be obtained, the first image information is ambient environment information for extracting artemisinin, the first image information comprises whether the ambient environment information is clean and tidy, free of impurities and the like, and then preset environment requirement information is obtained, the preset environment requirement information is preset purification environment information of the artemisinin and can be understood as proper temperature and humidity, cleanness and tidiness, dust and the like, whether the first image information meets the preset environment requirement information or not is judged, namely whether the purification environment reaches a certain standard or not is judged, when the first image information does not meet the preset environment requirement information, namely the purification environment does not reach the standard, a second adjustment instruction is obtained, the second adjustment instruction is used for adjusting the purification environment, so that the purification environment reaches the standard, by adjusting the purification environment information of the artemisinin, the technical effect of ensuring that the purity extraction of the artemisinin is not interfered by the extraction environment is achieved.
Before obtaining the first purity information of the artemisinin according to the first result and the preset strategy, the embodiment of the application further includes:
step S1110: acquiring second protection image information of a first worker;
step S1120: acquiring preset protection information;
step S1130: judging whether the second protection image information meets the preset protection information or not;
step S1140: when the second protection image information does not meet the preset protection information, a first prohibition instruction is obtained;
step S1150: and according to the first prohibition instruction, prohibiting the first worker from carrying out purity detection work.
Specifically, in order to ensure that the detection of the artemisinin purity is more effective, second protection image information of a first worker can be obtained, the first worker is a professional worker responsible for artemisinin extraction, the second protection image information is wearing equipment of the worker performing artemisinin extraction, whether the wearing equipment of the worker meets requirements, such as the wearing needs to be clean and tidy, preset protection information can be obtained, the preset protection information is wearing equipment information of the required worker, whether the second protection image information meets the preset protection information can be further judged, when the second protection image information does not meet the preset protection information, namely the wearing equipment requirement of the first worker does not reach the standard, a certain influence is generated on the detection of the artemisinin purity, a first prohibition instruction is obtained, and according to the first prohibition instruction, prohibiting the first worker from carrying out purity detection work, and ensuring that the detection of the purity of the artemisinin is not interfered, thereby achieving the technical effect of ensuring that the detection of the purity of the artemisinin is more effective.
In order to ensure the detection of the purity of the artemisinin to be truly reliable, the embodiment of the application further comprises the following steps:
step 1210: acquiring preset maintenance period information of the first purification equipment;
step S1220: obtaining first maintenance information, wherein the first maintenance information is the latest maintenance information from the current time;
step S1230: obtaining a first time difference according to the first maintenance information;
step S1240: judging whether the first time difference is within the preset maintenance period;
step S1250: if so, obtaining cumulative artemisinin production information for said first purification facility over said first time difference;
step S1260: judging whether the artemisinin cumulative yield information exceeds preset cumulative yield threshold information or not;
step S1270: if not, a first maintenance instruction is obtained, wherein the first maintenance instruction is used to calibrate the first purification apparatus.
In order to ensure that the detection of the purity of the artemisinin is true and reliable, preset maintenance cycle information of the first purification equipment can be obtained, wherein the preset maintenance cycle information is maintenance cycle time information of the first purification equipment, the preset maintenance cycle information can be one week or one month, and is not specifically set herein, first maintenance information is obtained, the first maintenance information is the latest maintenance information from the current time, further, according to the first maintenance information, a first time difference is obtained, the first time difference is the time difference from the last maintenance time to the current time, whether the first time difference is within the preset maintenance cycle is judged, if yes, the first purification equipment can normally work after maintenance, and the accumulated yield information of the artemisinin of the first purification equipment within the first time difference is obtained, the artemisinin cumulative yield information is accumulated yield information extracted by the first purification equipment, whether the artemisinin cumulative yield information exceeds preset cumulative yield threshold information is judged, the preset cumulative yield threshold information is artemisinin purification yield information obtained after the purification equipment is maintained, if the artemisinin cumulative yield information does not exceed the preset cumulative yield threshold information, the purification equipment is not accurate enough, a first maintenance instruction is obtained, the first maintenance instruction is used for calibrating the first purification equipment, and the technical effect of guaranteeing the accuracy and reliability of detection on artemisinin purity is achieved.
In order to ensure that the detection of the purity of the artemisinin meets the requirement, the embodiment of the application further comprises:
step 1310: obtaining first demand information of the artemisinin information;
step S1320: judging whether the second purity information meets the first requirement information;
step S1330: and if the first requirement information is not met, obtaining a first operation instruction, wherein the first operation instruction is used for carrying out purification treatment on the artemisinin again.
Specifically, in order to ensure that the detection of the purity of the artemisinin meets the requirement, first requirement information of the artemisinin information can be obtained, wherein the first requirement information is the required purity information of the artemisinin, and whether the second purity information meets the first requirement information is further judged, that is, whether the purity of the refined artemisinin meets the required purity information is judged, if the first requirement information is not met, a first operation instruction is obtained, wherein the first operation instruction is used for carrying out purification processing on the artemisinin again, so that the extracted purity information of the artemisinin meets the first requirement information, and the technical effect of ensuring that the purified purity information of the artemisinin meets the required purity information is achieved.
After obtaining the output information of the first neural network model, step S500 further includes:
step S510: obtaining first granularity information of the purified artemisinin;
step S520: obtaining first influence relation sequencing information between preset granularity and artemisinin purity;
step S530: obtaining a first influence degree of the first granularity according to the first influence relation sorting information;
step S540: and when the first influence degree exceeds a preset influence degree threshold value, obtaining a second operation instruction, wherein the second operation instruction is used for carrying out refinement processing on the artemisinin.
Specifically, the first granularity information is granularity information of purified artemisinin, first influence relation sorting information between preset granularity and artemisinin purity is obtained, namely, influences of the preset granularity and the artemisinin purity on artemisinin application are judged respectively, further, according to the first influence relation sorting information, a first influence degree of the first granularity is obtained, namely, the first granularity influences on the artemisinin before the purity, when the first influence degree exceeds a preset influence degree threshold value, namely, when the granularity of the artemisinin is not uniform and cannot be used well, a second operation instruction is obtained, wherein the second operation instruction is used for refining the artemisinin, and finally, the refined artemisinin with uniform granularity is obtained, so that the artemisinin can be used well, and the technical effect that the artemisinin can be used well by ensuring the uniformity of the granularity of the artemisinin is achieved .
In order to effectively record and store the purity information of the artemisinin, the embodiment of the application further comprises the following steps:
generating a first verification code according to the first purity information, wherein the first verification code corresponds to the first purity information one to one;
generating a second verification code according to the second purity information, wherein the second verification code corresponds to the second purity information one to one, and by analogy, obtaining nth purity information, and generating an nth verification code according to the nth purity information, wherein N is a natural number greater than 1;
and respectively copying and storing all purity information and verification codes in M devices, wherein M is a natural number greater than 1.
In particular, to ensure that the purity information of artemisinin can be effectively recorded and stored, it can be subjected to a blockchain-based encryption operation to ensure that data is not tampered with. The block chain technology is a universal underlying technical framework, and can generate and synchronize data on distributed nodes through a consensus mechanism, and realize automatic execution and data operation of contract terms by means of programmable scripts. A block chain is defined as a data structure that organizes data blocks in time sequence, with chain-like connections being formed in order between different blocks, by means of which a digital ledger is built.
Generating a first verification code according to the first purity information, wherein the first verification code corresponds to the first purity information one to one; generating a second verification code according to the second purity information, wherein the second verification code corresponds to the second purity information one to one, and by analogy, obtaining nth purity information, and generating an nth verification code according to the nth purity information, wherein N is a natural number greater than 1; and respectively copying and storing all purity information and verification codes in M devices, wherein M is a natural number greater than 1. And encrypting and storing the first purity information, wherein each device corresponds to one node, all the nodes are combined to form a block chain, and the block chain forms a total account book which is convenient to verify (the Hash value of the last block is verified to be equivalent to the whole version), and cannot be changed (the Hash value of all the following blocks is changed due to the change of any transaction information, so that the transaction information cannot pass the verification).
The block chain system adopts a distributed data form, each participating node can obtain a complete database backup, and unless 51% of nodes in the whole system can be controlled simultaneously, modification of the database by a single node is invalid, and data contents on other nodes cannot be influenced. Therefore, the more nodes participating in the system, the more powerful the computation, and the higher the data security in the system. The first purity information is encrypted based on the block chain, so that the storage safety of the first purity information is effectively ensured, and the technical effect of safely recording and storing the first purity information is achieved.
In summary, the method and the device for detecting the purity of artemisinin provided by the embodiment of the application have the following technical effects:
1. the parameter information of the first purification equipment and the planting environment information of the artemisia annua material are obtained and input into the first neural network model for continuous training, so that the output result is more accurate, the output artemisinin information obtained after purification is more accurate, and the technical effect of more effective and reliable detection of artemisinin purity is further ensured.
2. The purification environment of the artemisinin is clean and tidy, the wearing protection of workers meets the requirements, the maintenance period of the purification equipment meets the standard, and the demand information is real and reliable, so that the extraction of the artemisinin is more precise and pure, and the technical effect of more real and effective detection of the purity of the extracted artemisinin is achieved.
Example two
Based on the same inventive concept as the method for detecting the purity of artemisinin in the previous embodiment, the invention also provides a device for detecting the purity of artemisinin, as shown in fig. 2, the device comprises:
the first obtaining unit 11: the first obtaining unit 11 is configured to obtain first parameter information of a first purifying device, where the first purifying device is an extracting device;
the second obtaining unit 12: the second obtaining unit 12 is configured to obtain first planting environment information of the first artemisia annua material;
the first building element 13: the first construction unit 13 is configured to construct a first training data set according to the first parameter information and the first planting environment information;
first input unit 14: the first input unit 14 is configured to input the first training data set into a first neural network model, the first neural network model being trained by using a plurality of sets of training data, each set of training data in the plurality of sets including: first parameter information, first planting environment information and identification information identifying the first result;
the third obtaining unit 15: the third obtaining unit 15 is configured to obtain output information of the first neural network model, where the output information includes the first result, and the first result includes artemisinin information obtained after purification;
the fourth obtaining unit 16: the fourth obtaining unit 16 is configured to obtain first purity information of the artemisinin according to a preset policy according to the first result;
the fifth obtaining unit 17: the fifth obtaining unit 17 is configured to obtain preset standard parameter information;
sixth obtaining unit 18: the sixth obtaining unit 18 is configured to obtain a first accuracy of the first purification apparatus according to the first parameter information and preset standard parameter information;
the seventh obtaining unit 19: the seventh obtaining unit 19 is configured to obtain a first adjusting instruction according to the first precision;
the first adjusting unit 20: the first adjusting unit 20 is configured to adjust the first purity information according to the first adjusting instruction, so as to obtain second purity information.
Further, the apparatus further comprises:
an eighth obtaining unit: the eighth obtaining unit is used for obtaining first geographical position information of the first artemisia annua material;
a ninth obtaining unit: the ninth obtaining unit is used for obtaining a first collection time of the first artemisia annua material;
a tenth obtaining unit: the tenth obtaining unit is configured to obtain first climate information according to the first geographic location information and the first collection time, where the first climate information includes at least one of first precipitation information, first air temperature information, first illumination information, and first wind power information;
an eleventh obtaining unit: the eleventh obtaining unit is used for obtaining first cultivation information of the first artemisia annua material;
a twelfth obtaining unit: the twelfth obtaining unit is used for obtaining first planting environment information of the first artemisia annua material according to the first climate information, the first geographical position information and the first cultivation information.
Further, the apparatus further comprises:
a thirteenth obtaining unit: the thirteenth obtaining unit is used for obtaining the first image information of the purifying environment;
a fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain preset environment requirement information;
a first judgment unit: the first judging unit is used for judging whether the first image information meets the preset environment requirement information;
a fifteenth obtaining unit: the fifteenth obtaining unit is configured to obtain a second adjusting instruction when the first image information does not meet the preset environment requirement information;
a second adjusting unit: the second adjusting unit is configured to adjust the first image information according to the second adjusting instruction, so that the first image information meets the preset environment requirement information.
Further, the apparatus further comprises:
a sixteenth obtaining unit: the sixteenth obtaining unit is used for obtaining second protection image information of the first worker;
a seventeenth obtaining unit: the seventeenth obtaining unit is used for obtaining preset protection information;
a second judgment unit: the second judging unit is used for judging whether the second protection image information meets the preset protection information;
an eighteenth obtaining unit: the eighteenth obtaining unit is configured to obtain a first prohibition instruction when the second guard image information does not satisfy the preset guard information;
and the first forbidding unit is used for forbidding the first staff to carry out purity detection work according to the first forbidding instruction.
Further, the apparatus further comprises:
a nineteenth obtaining unit: the nineteenth obtaining unit is used for obtaining preset maintenance period information of the first purifying equipment;
a twentieth obtaining unit: the twentieth obtaining unit is configured to obtain first maintenance information, where the first maintenance information is the latest maintenance information from the current time;
a twenty-first obtaining unit: the twenty-first obtaining unit is configured to obtain a first time difference according to the first maintenance information;
a third judging unit: the third judging unit is used for judging whether the first time difference is within the preset maintenance period;
a twenty-second obtaining unit: the twenty-second obtaining unit is used for obtaining the artemisinin accumulated yield information of the first purification equipment within the first time difference if the twenty-second obtaining unit is in the first time difference;
a fourth judging unit: the fourth judging unit is used for judging whether the artemisinin cumulative yield information exceeds preset cumulative yield threshold information;
a twenty-third obtaining unit: the twenty-third obtaining unit is configured to obtain a first maintenance instruction if the first maintenance instruction is not exceeded, wherein the first maintenance instruction is configured to calibrate the first purification apparatus.
Further, the apparatus further comprises:
a twenty-fourth obtaining unit: the twenty-fourth obtaining unit is used for obtaining the first requirement information of the artemisinin information;
a fifth judging unit: the fifth judging unit is configured to judge whether the second purity information satisfies the first requirement information;
a twenty-fifth obtaining unit: the twenty-fifth obtaining unit is configured to obtain a first operation instruction if the first requirement information is not satisfied, where the first operation instruction is used to perform the purification processing on the artemisinin again.
Further, the apparatus further comprises:
a twenty-sixth obtaining unit: the twenty-sixth obtaining unit is used for obtaining first granularity information of the purified artemisinin;
a twenty-seventh obtaining unit: the twenty-seventh obtaining unit is used for obtaining first influence relation sequencing information between the preset granularity and the artemisinin purity;
a twenty-eighth obtaining unit: the twenty-eighth obtaining unit is configured to obtain a first influence degree of the first granularity according to the first influence relation ranking information;
a twenty-ninth obtaining unit: the twenty-ninth obtaining unit is configured to obtain a second operation instruction when the first influence exceeds a preset influence threshold, where the second operation instruction is used to perform refinement processing on the artemisinin.
Various changes and specific examples of the method for detecting the purity of artemisinin in the first embodiment of fig. 1 are also applicable to the device for detecting the purity of artemisinin in the present embodiment, and the implementation method of the device for detecting the purity of artemisinin in the present embodiment is clear to those skilled in the art from the foregoing detailed description of the method for detecting the purity of artemisinin, and therefore, for the brevity of the description, detailed description is omitted again.
EXAMPLE III
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 detecting artemisinin purity in the foregoing embodiments, the present invention further provides an apparatus for detecting artemisinin purity, which has a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of any one of the methods for detecting artemisinin purity as 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 apparatus 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 embodiment of the application provides a method for detecting the purity of artemisinin, wherein the method further comprises the following steps: acquiring first parameter information of first purification equipment, wherein the first purification equipment is extraction equipment; obtaining first planting environment information of a first artemisia annua material; constructing a first training data set according to the first parameter information and the first planting environment information; inputting the first training data set into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first parameter information, first planting environment information and identification information identifying the first result; obtaining output information of the first neural network model, wherein the output information comprises the first result, and the first result comprises artemisinin information obtained after purification; according to the first result, obtaining first purity information of the artemisinin according to a preset strategy; acquiring preset standard parameter information; obtaining first precision of the first purification equipment according to the first parameter information and preset standard parameter information; obtaining a first adjusting instruction according to the first precision; and adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
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 means 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 instruction means 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 detecting purity of artemisinin, wherein the method comprises the following steps:
acquiring first parameter information of first purification equipment, wherein the first purification equipment is extraction equipment;
obtaining first planting environment information of a first artemisia annua material;
constructing a first training data set according to the first parameter information and the first planting environment information;
inputting the first training data set into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first parameter information, first planting environment information and identification information identifying the first result;
obtaining output information of the first neural network model, wherein the output information comprises the first result, and the first result comprises artemisinin information obtained after purification;
according to the first result, obtaining first purity information of the artemisinin according to a preset strategy;
acquiring preset standard parameter information;
obtaining first precision of the first purification equipment according to the first parameter information and preset standard parameter information;
obtaining a first adjusting instruction according to the first precision;
and adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
2. The method of claim 1, wherein the obtaining first planting environment information for a first artemisia annua material comprises:
obtaining first geographical location information of the first artemisia annua material;
obtaining a first collection time for the first artemisia annua material;
obtaining first climate information according to the first geographical position information and first acquisition time, wherein the first climate information comprises at least one of first precipitation information, first air temperature information, first illumination information and first wind power information;
obtaining first cultivation information of the first artemisia annua material;
and obtaining first planting environment information of the first artemisia annua material according to the first climate information, the first geographical position information and the first cultivation information.
3. The method of claim 1, wherein before obtaining the first purity information of the artemisinin according to the preset strategy based on the first result, the method further comprises:
obtaining first image information of a purified environment;
acquiring preset environment requirement information;
judging whether the first image information meets the preset environment requirement information or not;
when the first image information does not meet the preset environment requirement information, a second adjusting instruction is obtained;
and adjusting the first image information according to the second adjusting instruction so that the first image information meets the preset environment requirement information.
4. The method of claim 1, wherein before obtaining the first purity information of the artemisinin according to the preset strategy based on the first result, the method further comprises:
acquiring second protection image information of a first worker;
acquiring preset protection information;
judging whether the second protection image information meets the preset protection information or not;
when the second protection image information does not meet the preset protection information, a first prohibition instruction is obtained;
and according to the first prohibition instruction, prohibiting the first worker from carrying out purity detection work.
5. The method of claim 1, wherein the method further comprises:
acquiring preset maintenance period information of the first purification equipment;
obtaining first maintenance information, wherein the first maintenance information is the latest maintenance information from the current time;
obtaining a first time difference according to the first maintenance information;
judging whether the first time difference is within the preset maintenance period;
if so, obtaining cumulative artemisinin production information for said first purification facility over said first time difference;
judging whether the artemisinin cumulative yield information exceeds preset cumulative yield threshold information or not;
if not, a first maintenance instruction is obtained, wherein the first maintenance instruction is used to calibrate the first purification apparatus.
6. The method of claim 1, wherein the method further comprises:
obtaining first demand information of the artemisinin information;
judging whether the second purity information meets the first requirement information;
and if the first requirement information is not met, obtaining a first operation instruction, wherein the first operation instruction is used for carrying out purification treatment on the artemisinin again.
7. The method of claim 1, wherein after obtaining the output information of the first neural network model, the method further comprises:
obtaining first granularity information of the purified artemisinin;
obtaining first influence relation sequencing information between preset granularity and artemisinin purity;
obtaining a first influence degree of the first granularity according to the first influence relation sorting information;
and when the first influence degree exceeds a preset influence degree threshold value, obtaining a second operation instruction, wherein the second operation instruction is used for carrying out refinement processing on the artemisinin.
8. An artemisinin purity detection device, comprising:
a first obtaining unit: the first obtaining unit is used for obtaining first parameter information of first purifying equipment, wherein the first purifying equipment is extracting equipment;
a second obtaining unit: the second obtaining unit is used for obtaining first planting environment information of the first artemisia annua material;
a first building unit: the first construction unit is used for constructing a first training data set according to the first parameter information and the first planting environment information;
a first input unit: the first input unit is configured to input the first training data set into a first neural network model, where the first neural network model is trained using multiple sets of training data, and each set of training data in the multiple sets includes: first parameter information, first planting environment information and identification information identifying the first result;
a third obtaining unit: the third obtaining unit is configured to obtain output information of the first neural network model, where the output information includes the first result, and the first result includes artemisinin information obtained after purification;
a fourth obtaining unit: the fourth obtaining unit is used for obtaining first purity information of the artemisinin according to a preset strategy according to the first result;
a fifth obtaining unit: the fifth obtaining unit is used for obtaining preset standard parameter information;
a sixth obtaining unit: the sixth obtaining unit is configured to obtain a first accuracy of the first purification apparatus according to the first parameter information and preset standard parameter information;
a seventh obtaining unit: the seventh obtaining unit is configured to obtain a first adjustment instruction according to the first precision;
a first adjusting unit: the first adjusting unit is used for adjusting the first purity information according to the first adjusting instruction to obtain second purity information.
9. An apparatus for detecting purity of artemisinin, 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 method of any one of claims 1 to 7 when executing the program.
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