CN115169751A - Method and system for improving maintenance quality of traditional Chinese medicine decoction pieces - Google Patents

Method and system for improving maintenance quality of traditional Chinese medicine decoction pieces Download PDF

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CN115169751A
CN115169751A CN202211069192.2A CN202211069192A CN115169751A CN 115169751 A CN115169751 A CN 115169751A CN 202211069192 A CN202211069192 A CN 202211069192A CN 115169751 A CN115169751 A CN 115169751A
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curing
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CN115169751B (en
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金兵
雷凤鸣
邓明强
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Zhangjiagang Green Traditional Chinese Medicine Decoction Pieces Co ltd
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Zhangjiagang Green Traditional Chinese Medicine Decoction Pieces Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/15—Medicinal preparations ; Physical properties thereof, e.g. dissolubility
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage

Abstract

The invention provides a method and a system for improving the maintenance quality of traditional Chinese medicine decoction pieces, which relate to the technical field of traditional Chinese medicine decoction pieces, and the method comprises the following steps: obtaining target Chinese medicinal decoction pieces; collecting and obtaining a quality standard of storage and maintenance of target traditional Chinese medicine decoction pieces; collecting a current quality information set of current storage and maintenance; judging whether the current quality information sets meet the quality standard or not, obtaining a judgment result, if not, obtaining a problem quality information set which does not meet the quality standard, and further obtaining a problem sub-maintenance condition set and a qualified sub-maintenance condition set; and respectively carrying out positive optimization and negative adjustment on the maintenance standards of the sub-maintenance conditions in the problem sub-maintenance condition set and the qualified sub-maintenance condition set to obtain optimized storage and maintenance conditions. The invention solves the technical problems that the traditional Chinese medicine decoction pieces cannot be positioned in the storage and maintenance process and the maintenance quality is poor in the prior art, and achieves the technical effect of improving the maintenance quality.

Description

Method and system for improving maintenance quality of traditional Chinese medicine decoction pieces
Technical Field
The invention relates to the technical field of traditional Chinese medicine decoction pieces, in particular to a method for improving the maintenance quality of the traditional Chinese medicine decoction pieces.
Background
After the traditional Chinese medicines are processed, the traditional Chinese medicines need to be stored, maintained and stored, and taken out to be supplied with a dispensing formula, decocted into a decoction or used as a preparation raw material when needed, so that the quality of the traditional Chinese medicine decoction pieces in the storage and storage processes affects the quality and curative effect of the traditional Chinese medicine decoction pieces.
At present, the storage and maintenance of the traditional Chinese medicine decoction pieces are generally carried out according to pharmacopoeia and relevant specifications, so that the phenomena of pollution, oil bleeding, odor loss, weathering and the like of the traditional Chinese medicine decoction pieces are avoided, and the maintenance quality of the traditional Chinese medicine decoction pieces is ensured.
In the prior art, the storage and maintenance of the traditional Chinese medicine decoction pieces are carried out according to pharmacopoeia and relevant standards, the problems existing in the storage and maintenance can not be obtained when the environment changes or the quality of the traditional Chinese medicine decoction pieces has problems, the storage and maintenance conditions can not be adjusted in time, and the technical problem of poor storage and maintenance quality of the traditional Chinese medicine decoction pieces exists.
Disclosure of Invention
The application provides a method for improving the maintenance quality of traditional Chinese medicine decoction pieces, which is used for solving the technical problems that the traditional Chinese medicine decoction pieces cannot be accurately obtained in the storage and maintenance process, the storage and maintenance conditions cannot be adjusted in time and the storage and maintenance quality of the traditional Chinese medicine decoction pieces is poor in the prior art.
In view of the above problems, the present application provides a method for improving the quality of maintenance of herbal pieces.
In a first aspect of the present application, a method for improving the quality of maintenance of herbal pieces of chinese medicine is provided, the method comprising: obtaining target Chinese medicinal decoction pieces; acquiring a quality standard for storing and maintaining the target traditional Chinese medicine decoction pieces, wherein the quality standard comprises index standard information of a plurality of quality indexes; acquiring quality information of a plurality of quality indexes of the target traditional Chinese medicine decoction pieces under the current storage and maintenance condition to obtain a current quality information set, wherein the current storage and maintenance condition comprises a plurality of sub-maintenance conditions, and each sub-maintenance condition comprises a maintenance standard; judging whether a plurality of pieces of quality information in the current quality information set all meet a plurality of pieces of index standard information in the quality standard, obtaining a judgment result, and if so, storing and maintaining the target Chinese medicinal decoction pieces according to the storage and maintenance conditions; if the judgment result is negative, obtaining quality information which does not meet the index standard information according to the judgment result and using the quality information as a problem quality information set; obtaining a plurality of sub-curing conditions with curing problems according to the problem quality information set, and obtaining a problem sub-curing condition set and a qualified sub-curing condition set; and respectively carrying out positive optimization and negative adjustment on the maintenance standards of the sub-maintenance conditions in the problem sub-maintenance condition set and the qualified sub-maintenance condition set to obtain optimized storage and maintenance conditions, and carrying out storage and maintenance on the target Chinese medicinal decoction pieces by adopting the optimized storage and maintenance conditions.
In a second aspect of the present application, there is provided a system for improving the quality of maintenance of herbal pieces, the system comprising: the maintenance quality standard acquisition module is used for acquiring the quality standard of the target traditional Chinese medicine decoction pieces for storage and maintenance, wherein the quality standard comprises index standard information of a plurality of quality indexes; the maintenance quality information acquisition module is used for acquiring and acquiring quality information of a plurality of quality indexes of the target traditional Chinese medicine decoction piece under the current storage and maintenance condition to obtain a current quality information set, wherein the current storage and maintenance condition comprises a plurality of sub-maintenance conditions, and each sub-maintenance condition comprises a maintenance standard; the quality judgment module is used for judging whether the quality information in the current quality information set meets the index standard information in the quality standard or not to obtain a judgment result, and if the judgment result is yes, the target traditional Chinese medicine decoction piece is stored and maintained according to the storage and maintenance condition; a problem quality information acquisition module, configured to, if the determination result is negative, obtain quality information that does not meet the multiple pieces of index standard information according to the determination result, and use the quality information as a problem quality information set; the problem sub-curing condition acquisition module is used for acquiring a plurality of sub-curing conditions with curing problems according to the problem quality information set, and acquiring a problem sub-curing condition set and a qualified sub-curing condition set; and the curing condition adjusting and optimizing module is used for respectively carrying out positive optimization and negative adjustment on the curing standards of the sub-curing conditions in the problem sub-curing condition set and the qualified sub-curing condition set to obtain optimized storage and curing conditions, and carrying out storage and curing on the target traditional Chinese medicine decoction pieces by adopting the optimized storage and curing conditions.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, the quality standard of storage and maintenance of the target traditional Chinese medicine decoction pieces is obtained, the quality information set in actual storage and maintenance is collected, whether the quality information set meets the quality standard or not is judged, the problem quality information set is obtained, the problem maintenance condition and the qualified maintenance condition in the current storage and maintenance condition are further obtained, the storage and maintenance condition with the problem is located according to the quality information of the traditional Chinese medicine decoction pieces, the problem storage and maintenance condition is further optimized, the qualified maintenance condition is adjusted, the maintenance standard of the problem storage and maintenance condition is optimized in a positive direction, the quality problem of the traditional Chinese medicine decoction pieces is avoided, the maintenance standard of the qualified maintenance condition is reduced through negative adjustment, the maintenance cost is reduced, the quality requirement of storage and maintenance of the traditional Chinese medicine decoction pieces is met, the traditional Chinese medicine decoction piece storage and maintenance quality problem is accurately located, and the technical effect of improving the maintenance quality of the traditional Chinese medicine decoction pieces is achieved.
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FIG. 1 is a schematic flow chart illustrating a method for improving the quality of maintaining herbal pieces-prepared for decoction according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating how a plurality of sub-curing conditions with curing problems are obtained in the method for improving the curing quality of herbal pieces prepared for decoction provided by the embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating the obtaining of optimized storage and maintenance conditions in the method for improving the maintenance quality of herbal pieces prepared for decoction provided by the embodiment of the present application;
fig. 4 is a schematic structural diagram of a system for improving the maintenance quality of herbal pieces according to the embodiment of the present application.
Description of the reference numerals: the system comprises a traditional Chinese medicine decoction piece determining module 11, a maintenance quality standard acquiring module 12, a maintenance quality information acquiring module 13, a quality judging module 14, a problem quality information acquiring module 15, a problem maintenance condition acquiring module 16 and a maintenance condition adjusting and optimizing module 17.
Detailed Description
The application provides a method for improving the maintenance quality of the traditional Chinese medicine decoction pieces, and aims to solve the technical problems that in the prior art, the traditional Chinese medicine decoction pieces cannot be accurately obtained, the storage and maintenance conditions cannot be adjusted in time, and the storage and maintenance quality of the traditional Chinese medicine decoction pieces is poor.
Example one
As shown in fig. 1, the present application provides a method for improving the quality of maintenance of herbal pieces, the method comprising:
s100: obtaining target traditional Chinese medicine decoction pieces;
in the embodiment of the application, the target herbal pieces are herbal pieces prepared by a corresponding processing method for Chinese herbal medicines and needing to be stored and maintained, and the target herbal pieces can be any kinds of herbal pieces, such as common herbal pieces of Chinese wolfberry, peach kernel, mulberry, salvia miltiorrhiza, astragalus membranaceus and the like.
S200: acquiring a quality standard for storing and maintaining the target traditional Chinese medicine decoction pieces, wherein the quality standard comprises index standard information of a plurality of quality indexes;
specifically, the quality standard includes index standard information of a plurality of quality indexes. The quality indexes comprise clarity, color, smell and moisture in storage and maintenance of the Chinese medicinal decoction pieces, and the quality standards comprise standard information of the four quality indexes.
Based on Chinese pharmacopoeia and corresponding Chinese medicine storage standards, the quality standards of the storage and maintenance of the target Chinese medicine decoction pieces are obtained by combining the four quality indexes, wherein the quality standards comprise quality requirements on the cleanliness, color, smell and moisture of the stored Chinese medicine decoction pieces.
Illustratively, the index standard information of the purity quality index comprises that impurities, worm damage, mold and the like cannot occur in the traditional Chinese medicine decoction pieces in a mass ratio of more than 2%, the index standard information of the color quality index comprises that the traditional Chinese medicine decoction pieces cannot be seriously discolored, the index standard information of the odor quality index comprises that the traditional Chinese medicine decoction pieces cannot be seriously discolored, and the index standard information of the moisture quality index comprises that the traditional Chinese medicine decoction pieces cannot be deliquesced and weathered.
S300: acquiring quality information of a plurality of quality indexes of the target traditional Chinese medicine decoction pieces under the current storage and maintenance condition to obtain a current quality information set, wherein the current storage and maintenance condition comprises a plurality of sub-maintenance conditions, and each sub-maintenance condition comprises a maintenance standard;
specifically, the target herbal pieces are stored according to the current storage and maintenance conditions, which are currently set storage and maintenance conditions without optimization adjustment, and may be storage and maintenance conditions set based on pharmacopoeia and specifications.
The storage and maintenance conditions comprise a plurality of sub-maintenance conditions, for example, seven sub-maintenance conditions including temperature, humidity, sunlight, air, mold, pests and a container, wherein each sub-maintenance condition comprises a maintenance standard, and the maintenance standard comprises maintenance cost information input for the sub-maintenance condition and specific sub-maintenance condition parameters. Illustratively, the curing criteria for the temperature sub-curing conditions include a specific temperature interval and curing cost information invested to maintain the storage area temperature.
And initially adopting the current storage and maintenance conditions to carry out storage and maintenance on the target traditional Chinese medicine decoction pieces, and acquiring quality information of a plurality of quality indexes of the target traditional Chinese medicine decoction pieces under the storage and maintenance.
Step S300 in the method provided in the embodiment of the present application includes:
s310: acquiring the cleanliness information of the target traditional Chinese medicine decoction pieces;
s320: collecting and acquiring color information of the target traditional Chinese medicine decoction pieces;
s330: collecting and acquiring odor information of the target traditional Chinese medicine decoction pieces;
s340: acquiring moisture information of the target traditional Chinese medicine decoction pieces;
s350: and taking the cleanliness information, the color information, the smell information and the moisture information as the current quality information set.
Specifically, the cleanliness information, color information, odor information and moisture information of the target Chinese medicinal decoction pieces stored under the current storage and maintenance conditions are collected and acquired and used as the current quality information set of the current storage and maintenance.
The quality information in the current quality information set is closely related to the current storage and maintenance condition, and can reflect the storage and maintenance quality level of the current storage and maintenance condition.
The embodiment of the application acquires the current quality information set through collection, and can be used as a data basis for analyzing the storage and maintenance quality level of the current storage and maintenance condition, so that the maintenance condition with the problem can be accurately positioned when the storage and maintenance problems of the traditional Chinese medicine decoction pieces occur.
S400: judging whether a plurality of pieces of quality information in the current quality information set all meet a plurality of pieces of index standard information in the quality standard, obtaining a judgment result, and if so, storing and maintaining the target Chinese medicinal decoction pieces according to the storage and maintenance conditions;
specifically, according to the current quality information set, current quality information of a plurality of quality indexes is obtained, whether the plurality of quality information respectively meet index standard information of the plurality of quality indexes within the quality standard is judged, and a judgment result is obtained.
If the plurality of quality information meets the index standard information of the plurality of quality indexes in the judgment result, and the judgment result is yes, the condition that the storage of the target traditional Chinese medicine decoction pieces by adopting the current storage and maintenance condition meets the quality requirement is indicated, and the storage of the target traditional Chinese medicine decoction pieces can be continued according to the current storage and maintenance condition.
S500: if the judgment result is negative, obtaining quality information which does not meet the index standard information according to the judgment result and using the quality information as a problem quality information set;
further, if part or all of the quality information in the current quality information set does not meet the corresponding index standard information in the judgment result, the judgment result is no, and according to the judgment result, the quality information which does not meet the corresponding index standard information can be obtained as a problem quality information set, and the quality index which corresponds to the information which does not meet the corresponding index standard can be obtained.
Illustratively, if the color and luster information in the current quality information set does not meet the index standard information of the corresponding quality index, the color and luster information is taken as the problem quality information. In this manner, a set of problem quality information is obtained.
S600: according to the problem quality information set, obtaining a plurality of sub-curing conditions with curing problems, and obtaining a problem sub-curing condition set and a qualified sub-curing condition set;
specifically, if the problem quality information which does not meet the index standard information corresponding to the quality index occurs, it indicates that the current storage and maintenance condition has a problem, and further indicates that the sub-maintenance condition has a problem.
And the relationship between the plurality of sub-curing conditions and the quality information of the plurality of quality indexes of the target Chinese medicinal decoction pieces is nonlinear in the process of curing the target Chinese medicinal decoction pieces. In the embodiment of the application, the sub-maintenance conditions with problems are obtained according to the problem quality information set analysis based on machine learning.
As shown in fig. 2, step S600 in the method provided in the embodiment of the present application includes:
s610: constructing a maintenance condition analysis model;
s620: inputting the problem quality information set into the maintenance condition analysis model to obtain an output result;
s630: and obtaining the plurality of sub-curing conditions with curing problems according to the output result.
Specifically, a maintenance condition analysis model for analyzing and obtaining problem sub-maintenance conditions according to the problem quality information set is constructed.
Step S610 in the method provided in the embodiment of the present application includes:
s611: acquiring problem quality information of the target traditional Chinese medicine decoction pieces under the current storage and maintenance conditions to obtain a plurality of sample problem quality information sets;
s612: acquiring problem sub-curing conditions under the condition that the target traditional Chinese medicine decoction pieces are cured by adopting the current storage and curing conditions, and acquiring a plurality of sample problem sub-curing condition sets;
s613: constructing the maintenance condition analysis model based on the BP neural network;
s614: dividing and identifying the sample problem quality information set and the sample problem sub-maintenance condition set to obtain training data, verification data and test data;
s615: and performing supervision training, verification and testing on the maintenance condition analysis model by adopting the training data, the verification data and the test data until the accuracy of the maintenance condition analysis model meets the preset requirement, and obtaining the maintenance condition analysis model.
Specifically, construction data for constructing a maintenance condition analysis model is collected.
The method comprises the steps of collecting and obtaining problem quality information of quality problems when target traditional Chinese medicine decoction pieces are stored and maintained under the same storage and maintenance conditions as the current storage and maintenance conditions, and obtaining a plurality of sample problem quality information sets.
And further acquiring and obtaining problem sub-maintenance conditions obtained when quality problems occur when the target traditional Chinese medicine decoction pieces are stored and maintained under the same storage and maintenance conditions as the current storage and maintenance conditions, and obtaining a plurality of sample problem sub-maintenance condition sets, wherein the plurality of sample problem quality information sets correspond to the plurality of sample problem sub-maintenance condition sets one by one. A plurality of sample problem quality information sets can be obtained through quality detection of traditional Chinese medicine decoction pieces in storage and maintenance, and a plurality of sample problem sub-maintenance condition sets can be obtained through analysis and investigation of storage and maintenance conditions according to the sample problem quality information sets based on experts in the traditional Chinese medicine field, and then the sample problem sub-maintenance condition sets are used as a data basis for obtaining problem sub-maintenance conditions through analysis according to the problem quality information sets in the current automatic intelligence mode.
And constructing the maintenance condition analysis model based on a BP neural network in machine learning, wherein input data of the maintenance condition analysis model is a problem quality information set, and output data of the maintenance condition analysis model is a problem sub-maintenance condition set.
And dividing and identifying the sample problem quality information set and the sample problem sub-maintenance condition set according to a proportion of 6.
And (3) adopting the training data to carry out supervision training on the maintenance condition analysis model until the maintenance condition analysis model converges or the accuracy rate meets the preset requirement, finishing the supervision training on the maintenance condition analysis model, adopting the verification data and the test data to verify and test the maintenance condition analysis model, and if the accuracy rate of the maintenance condition analysis model meets the preset requirement and the problems of under-fitting or over-fitting and the like do not occur in the training process, obtaining the constructed maintenance condition analysis model.
And (3) based on the constructed maintenance condition analysis model, inputting the problem quality information of the storage and maintenance of the current target traditional Chinese medicine decoction pieces into the maintenance condition analysis model in a set manner to obtain an output result, wherein the output result comprises identification information of the sub-maintenance condition with the maintenance problem, and thus, a plurality of sub-maintenance conditions with the maintenance problem are obtained.
And according to the plurality of sub-curing conditions with curing problems, combining the current storage curing conditions to obtain a plurality of qualified sub-curing conditions without curing problems.
Illustratively, if the problem quality information set includes color information and moisture information, a plurality of sub-curing conditions with curing problems, specifically including three sub-curing conditions of temperature, humidity and sunlight, are obtained through analysis of the curing condition analysis model, and further, four qualified sub-curing conditions without curing problems, including air, mold, pests and containers, can be obtained, and the above description is only an example.
Thus, a problem sub-curing condition set and a qualified sub-curing condition set are obtained.
According to the embodiment of the application, problem quality information and problem sub-curing conditions occurring in the previous storage and curing process of the target traditional Chinese medicine decoction pieces are collected by combining a machine learning method, a curing condition analysis model capable of intelligently and automatically analyzing and obtaining the problem sub-curing conditions is constructed, the sub-curing conditions with the current curing problems can be accurately analyzed and obtained, and the maintenance condition analysis model is used as a data basis for optimizing the storage and curing conditions and improving the curing quality of the traditional Chinese medicine decoction pieces.
S700: and respectively carrying out positive optimization and negative adjustment on the maintenance standards of the sub-maintenance conditions in the problem sub-maintenance condition set and the qualified sub-maintenance condition set to obtain optimized storage and maintenance conditions, and carrying out storage and maintenance on the target Chinese medicinal decoction pieces by adopting the optimized storage and maintenance conditions.
As shown in fig. 3, step S700 in the method provided in the embodiment of the present application includes:
s710: randomly carrying out forward optimization adjustment on the maintenance standards of the plurality of problem sub-maintenance conditions in the problem sub-maintenance condition set to obtain a plurality of problem sub-maintenance condition sets;
s720: carrying out negative adjustment randomly on the maintenance standards of a plurality of grid-closing maintenance conditions in the grid-closing maintenance condition set to obtain a plurality of adjustment and integration grid maintenance condition sets;
s730: randomly combining the multiple adjustment problem sub-curing condition sets and the multiple adjustment integration grid curing condition sets to obtain multiple optimization schemes;
and S740: and carrying out global optimization in the plurality of optimization schemes to obtain the optimized storage and maintenance conditions.
Specifically, based on the obtained problem sub-curing condition set and the qualified sub-curing condition set, the curing standards of the sub-curing conditions in the problem sub-curing condition set are considered to be poor, and the storage and curing conditions of the target traditional Chinese medicine decoction pieces cannot be met.
Therefore, it is necessary to randomly perform forward optimization adjustment on the curing criteria of the plurality of problem sub-curing conditions in the problem sub-curing condition set, where the forward optimization adjustment is to adjust the problem sub-curing conditions in a direction of improving the curing quality, for example, to adjust the curing cost information in the curing criteria of improving the problem sub-curing conditions, so as to make the curing conditions after the problem sub-curing condition adjustment higher. For example, the maintenance cost information in the maintenance standard of the temperature sub-maintenance condition is increased, so that the temperature sub-maintenance condition can more stably and accurately control the storage temperature of the target traditional Chinese medicine decoction pieces, the storage quality of the target traditional Chinese medicine decoction pieces is further improved, and the problem quality information is avoided.
By randomly and repeatedly carrying out forward optimization adjustment on the maintenance standards of the plurality of problem sub-maintenance conditions, a plurality of different sub-maintenance conditions after random forward optimization adjustment can be obtained, and a plurality of adjusted problem sub-maintenance condition sets are obtained.
Because the maintenance standards of the plurality of problem sub-maintenance conditions are optimized and adjusted in the forward direction, the storage and maintenance cost of the traditional Chinese medicine decoction pieces is improved, and the qualified sub-maintenance conditions in the check maintenance condition set need to be adjusted to control the cost.
Specifically, the maintenance standards of a plurality of grid-combined maintenance conditions in the grid-combined maintenance condition set are randomly adjusted in a negative direction, the negative adjustment is to adjust the qualified sub-maintenance conditions in the direction of reducing the maintenance quality, but the adjustment process needs to be adjusted on the premise of ensuring that the storage maintenance quality of the target traditional Chinese medicine decoction pieces meets the quality standards, so that the maintenance cost information in the maintenance standards of the plurality of grid-combined maintenance conditions can be specifically reduced, and a plurality of different adjusted grid-combined maintenance conditions are obtained and used as a plurality of grid-combined maintenance condition sets.
And based on the adjusted problem adjustment sub-curing condition set and the adjusted qualified sub-curing condition set, obtaining an overall adjusted storage curing condition, and based on the overall adjusted storage curing condition, randomly combining the multiple problem adjustment sub-curing condition sets and the multiple adjusting and integrating grid curing condition sets to obtain multiple optimization schemes. Wherein each optimization scheme comprises an adjusted storage and maintenance condition.
Further, global optimization is carried out in a plurality of optimization schemes, and the optimization scheme with better quality and lower cost of the target traditional Chinese medicine decoction pieces after storage and maintenance is obtained.
Step S740 in the method provided in the embodiment of the present application includes:
s741: randomly selecting an optimization scheme from the plurality of optimization schemes as a first optimization scheme and as a current solution;
s742: calculating to obtain a first optimization evaluation result of the first optimization scheme;
s743: randomly selecting an optimization scheme from the multiple optimization schemes again to serve as a second optimization scheme;
s744: calculating to obtain a second optimization evaluation result of the second optimization scheme;
s745: judging whether the second optimization evaluation result is larger than the first optimization evaluation result, if so, taking the second optimization scheme as a current solution, and if not, taking the second optimization scheme as the current solution according to the probability, wherein the probability is obtained by the following calculation formula:
Figure 119335DEST_PATH_IMAGE001
wherein e is a natural logarithm, and the natural logarithm is a natural logarithm,
Figure 686012DEST_PATH_IMAGE002
in order to optimize the result of the evaluation for the second time,
Figure 465749DEST_PATH_IMAGE003
k is a searching optimization speed factor for a first optimization evaluation result;
s746: and continuing global optimization until the optimization times reach preset times, and outputting the current solution to obtain the optimized storage and maintenance conditions.
Specifically, an optimization scheme is randomly selected from the optimization schemes, and is used as the first optimization scheme and the current solution in the current global optimization process.
And calculating to obtain a first optimization evaluation result of the first optimization scheme through a preset calculation rule.
Step S742 in the method provided in the embodiment of the present application includes:
s742-1: acquiring and obtaining the adjustment maintenance standard of a plurality of sub-maintenance conditions in the first optimization scheme;
s742-2: evaluating the maintenance quality of the adjusted maintenance standard of the plurality of sub-maintenance conditions to obtain an optimized sub-evaluation result;
s742-3: evaluating the maintenance cost of the adjusted maintenance standard of the plurality of sub-maintenance conditions to obtain a cost sub-evaluation result;
s742-4: and performing weighted calculation on the optimization sub-evaluation result and the cost sub-evaluation result to obtain the first optimization evaluation result.
In the global optimization process in the embodiment of the application, the optimization schemes are evaluated as a data basis for comparing the advantages and the disadvantages of the multiple optimization schemes.
Specifically, after the first optimization scheme is randomly selected and obtained, the first optimization scheme includes a sub-maintenance condition set of the adjustment problem after positive optimization adjustment and a sub-maintenance condition set of the adjustment qualified after negative adjustment, and the first optimization scheme after adjustment combination is evaluated.
In the first optimization scheme, the adjustment maintenance standard after the positive optimization adjustment or the negative adjustment of the multiple sub-maintenance conditions is acquired and obtained, and the adjustment maintenance standard includes maintenance cost information after the adjustment of each sub-maintenance condition.
Subjective evaluation is carried out on the adjustment maintenance standard of the sub-maintenance conditions based on experts in the field of traditional Chinese medicine and the field of traditional Chinese medicine storage and maintenance, the maintenance quality which can be achieved when the adjusted adjustment maintenance standard of the sub-maintenance conditions is used for storing and maintaining target traditional Chinese medicine decoction pieces is evaluated, a plurality of expert evaluation results are obtained, and the average value of the plurality of expert evaluation results is obtained to obtain the optimized sub-evaluation result. And the evaluation is carried out based on a plurality of experts, so that a relatively objective evaluation result can be obtained. The evaluation process can be based on the mode of giving scores.
Further, based on the experts, the maintenance costs of the adjusted maintenance standards of the sub-maintenance conditions in the first optimization scheme are evaluated, the degree of the maintenance costs of the adjusted maintenance standards is evaluated, a plurality of subjective cost evaluation results are obtained, and the cost sub-evaluation results are obtained through further averaging calculation.
And performing weighted calculation summation on the optimized sub-evaluation result and the cost sub-evaluation result according to a preset weight ratio to obtain a first optimized evaluation result. In this weight ratio, the weight value of the optimization sub-evaluation result is greater than the weight value of the cost sub-evaluation result, and is preferably 0.7.
And selecting an optimization scheme from the multiple optimization schemes again randomly as a second optimization scheme, and calculating to obtain a second optimization evaluation result of the second optimization scheme based on the same method steps and the same preset calculation rule in step S742.
And comparing the second optimization evaluation result with the first optimization evaluation result, judging whether the second optimization evaluation result is greater than the first optimization evaluation result, if so, indicating that the second optimization evaluation result is superior to the first optimization evaluation result, replacing the first optimization evaluation result with the second optimization evaluation result, and giving up the first optimization evaluation result as the current solution.
If not, the first optimization evaluation result is superior to the second optimization evaluation result, but the first optimization evaluation result may be locally optimal, and in order to avoid the situation that global optimization is stopped at the locally optimal position, the second optimization evaluation result is not abandoned, and the second optimization evaluation result replaces the first optimization evaluation result as the current solution according to the probability.
The probability is calculated by:
Figure 860958DEST_PATH_IMAGE001
wherein e is a natural logarithm, and the natural logarithm is a natural logarithm,
Figure 675331DEST_PATH_IMAGE002
in order to optimize the result of the evaluation for the second time,
Figure 373159DEST_PATH_IMAGE003
k is a searching optimization speed factor for a first optimization evaluation result;
k is an optimizing speed factor gradually reduced along with the optimizing process, preferably a constant reduced along with an optimizing process index, and in the initial stage of the global optimizing, if k is larger, P is larger, the probability of accepting a poorer optimizing scheme is improved, the optimizing process is accelerated, and in the later stage of the global optimizing, if k is smaller, P is smaller, and the optimizing accuracy is improved.
And (4) continuing global optimization iteration, randomly selecting to obtain a third optimization scheme, a fourth optimization scheme and the like, comparing according to the steps until the optimization times reach preset times, and outputting the final current solution as an optimal optimization scheme, namely obtaining the optimized storage and maintenance conditions. The preset times can be set according to the number of the optimization schemes.
The obtained optimized storage and maintenance conditions are the storage and maintenance conditions which can meet the quality requirements of the storage and maintenance of the target traditional Chinese medicine decoction pieces and have lower cost, and are superior to the current storage and maintenance conditions, and the optimized storage and maintenance conditions are adopted to carry out the storage and maintenance of the target traditional Chinese medicine decoction pieces, so that the maintenance quality of the target traditional Chinese medicine decoction pieces is improved.
According to the embodiment of the application, positive and negative adjustment is carried out on the sub-curing condition with the problem and the qualified sub-curing condition, so that the curing quality of the sub-curing condition with the problem is improved, the storage and curing cost is reduced, the overhigh cost is avoided, the curing quality standard of the target Chinese herbal pieces is met, a specific optimization method is established, the optimal storage and curing condition is obtained in a global optimization mode, and the technical effect of improving the curing quality of the Chinese herbal pieces is achieved.
In summary, the embodiment of the present application has at least the following technical effects:
according to the method, the quality standard of storage and maintenance of the target herbal pieces is obtained, then the quality information set in actual storage and maintenance is collected, whether the quality information set meets the quality standard or not is judged, the problem quality information set is obtained, the problem maintenance condition and the qualified maintenance condition in the current storage and maintenance condition are further obtained, the storage and maintenance condition with the problem is located according to the quality information of the herbal pieces, the problem storage and maintenance condition is further optimized, the qualified maintenance condition is adjusted, the maintenance standard of the problem storage and maintenance condition is optimized in a positive direction, the quality problem of the herbal pieces is avoided, the maintenance standard of the qualified maintenance condition is reduced through negative adjustment, the maintenance cost is reduced, the quality requirement of storage and maintenance of the herbal pieces is met, the technical effects of accurately locating the quality problem of storage and maintenance of the herbal pieces and improving the quality of storage and maintenance of the herbal pieces are achieved.
Example two
Based on the same inventive concept as the method for improving the maintenance quality of herbal pieces prepared for decoction, as shown in fig. 4, the present application provides a system for improving the maintenance quality of herbal pieces prepared for decoction, wherein the system comprises:
a herbal piece determination module 11, configured to obtain a target herbal piece;
a maintenance quality standard acquisition module 12, configured to acquire a quality standard for storage and maintenance of the target traditional Chinese medicine decoction pieces, where the quality standard includes index standard information of multiple quality indexes;
a maintenance quality information acquisition module 13, configured to acquire and obtain quality information of a plurality of quality indexes of the target herbal pieces under a current storage and maintenance condition, and obtain a current quality information set, where the current storage and maintenance condition includes a plurality of sub-maintenance conditions, and each sub-maintenance condition includes a maintenance standard;
a quality judgment module 14, configured to judge whether each of the plurality of quality information in the current quality information set satisfies a plurality of index standard information in the quality standard, to obtain a judgment result, and if the judgment result is yes, perform storage and maintenance on the target herbal pieces according to the storage and maintenance conditions;
a problem quality information obtaining module 15, configured to, if the determination result is negative, obtain, according to the determination result, quality information that does not meet the multiple pieces of index standard information, as a problem quality information set;
a problem sub-curing condition obtaining module 16, configured to obtain a plurality of sub-curing conditions with curing problems according to the problem quality information set, and obtain a problem sub-curing condition set and a qualified sub-curing condition set;
and a maintenance condition adjustment and optimization module 17, configured to perform positive optimization and negative adjustment on the maintenance standards of the sub-maintenance conditions in the problem sub-maintenance condition set and the qualified sub-maintenance condition set, respectively, to obtain an optimized storage and maintenance condition, and perform storage and maintenance on the target traditional Chinese medicine decoction pieces by using the optimized storage and maintenance condition.
Further, the maintenance quality information acquisition module 13 is configured to implement the following functions:
acquiring the cleanliness information of the target traditional Chinese medicine decoction pieces;
collecting and acquiring color information of the target traditional Chinese medicine decoction pieces;
collecting and acquiring odor information of the target traditional Chinese medicine decoction pieces;
collecting and obtaining moisture information of the target traditional Chinese medicine decoction pieces;
and taking the cleanliness information, the color information, the smell information and the moisture information as the current quality information set.
Further, the problem sub-curing condition obtaining module 16 is further configured to implement the following functions:
constructing a maintenance condition analysis model;
inputting the problem quality information set into the maintenance condition analysis model to obtain an output result;
and obtaining the plurality of sub-curing conditions with curing problems according to the output result.
Wherein, the building of the maintenance condition analysis model comprises the following steps:
acquiring problem quality information of the target traditional Chinese medicine decoction pieces under the current storage and maintenance conditions to obtain a plurality of sample problem quality information sets;
acquiring problem sub-curing conditions under the condition that the target traditional Chinese medicine decoction pieces are cured by adopting the current storage and curing conditions, and acquiring a plurality of sample problem sub-curing condition sets;
constructing the maintenance condition analysis model based on the BP neural network;
dividing and identifying the sample problem quality information set and the sample problem sub-maintenance condition set to obtain training data, verification data and test data;
and performing supervision training, verification and testing on the maintenance condition analysis model by adopting the training data, the verification data and the test data until the accuracy of the maintenance condition analysis model meets the preset requirement, and obtaining the maintenance condition analysis model.
Further, the maintenance condition adjustment and optimization module 17 is further configured to implement the following functions:
randomly carrying out forward optimization adjustment on the maintenance standards of the plurality of problem sub-maintenance conditions in the problem sub-maintenance condition set to obtain a plurality of adjusted problem sub-maintenance condition sets;
carrying out negative adjustment randomly on the maintenance standards of a plurality of grid-closing maintenance conditions in the grid-closing maintenance condition set to obtain a plurality of adjustment and integration grid maintenance condition sets;
randomly combining the multiple adjustment problem sub-curing condition sets and the multiple adjustment integration grid curing condition sets to obtain multiple optimization schemes;
and carrying out global optimization in the plurality of optimization schemes to obtain the optimized storage and maintenance conditions.
Wherein, the constructing of the conference subject analysis model comprises:
performing global optimization within the plurality of optimization schemes according to the problem quality information set, including:
randomly selecting an optimization scheme from the plurality of optimization schemes as a first optimization scheme and as a current solution;
calculating to obtain a first optimization evaluation result of the first optimization scheme;
randomly selecting an optimization scheme from the multiple optimization schemes again to serve as a second optimization scheme;
calculating to obtain a second optimization evaluation result of the second optimization scheme;
judging whether the second optimization evaluation result is larger than the first optimization evaluation result, if so, taking the second optimization scheme as the current solution, and if not, taking the second optimization scheme as the current solution according to the probability, wherein the probability is obtained by the following calculation:
Figure 640193DEST_PATH_IMAGE001
wherein, e is a natural logarithm, and the natural logarithm is a natural logarithm,
Figure 839093DEST_PATH_IMAGE002
in order to optimize the result of the evaluation for the second time,
Figure 881873DEST_PATH_IMAGE003
k is a searching optimization speed factor for a first optimization evaluation result;
and continuing global optimization until the optimization times reach preset times, and outputting the current solution to obtain the optimized storage and maintenance conditions.
Wherein the calculating to obtain a first optimization evaluation result of the first optimization scheme comprises:
acquiring and obtaining the adjustment maintenance standard of a plurality of sub-maintenance conditions in the first optimization scheme;
evaluating the maintenance quality of the adjusted maintenance standard of the plurality of sub-maintenance conditions to obtain an optimized sub-evaluation result;
evaluating the adjusted maintenance cost of the plurality of sub-maintenance conditions to obtain a cost sub-evaluation result;
and performing weighted calculation on the optimization sub-evaluation result and the cost sub-evaluation result to obtain the first optimization evaluation result.
The specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, the present application is intended to include such modifications and variations.

Claims (8)

1. A method for improving the maintenance quality of traditional Chinese medicine decoction pieces is characterized by comprising the following steps:
obtaining target Chinese medicinal decoction pieces;
collecting and obtaining quality standards for storage and maintenance of the target traditional Chinese medicine decoction pieces, wherein the quality standards comprise index standard information of a plurality of quality indexes;
acquiring quality information of a plurality of quality indexes of the target traditional Chinese medicine decoction pieces under the current storage and maintenance condition to obtain a current quality information set, wherein the current storage and maintenance condition comprises a plurality of sub-maintenance conditions, and each sub-maintenance condition comprises a maintenance standard;
judging whether a plurality of pieces of quality information in the current quality information set all meet a plurality of pieces of index standard information in the quality standard, obtaining a judgment result, and if so, storing and maintaining the target Chinese medicinal decoction pieces according to the storage and maintenance conditions;
if the judgment result is negative, obtaining quality information which does not meet the index standard information according to the judgment result and using the quality information as a problem quality information set;
obtaining a plurality of sub-curing conditions with curing problems according to the problem quality information set, and obtaining a problem sub-curing condition set and a qualified sub-curing condition set;
and respectively carrying out positive optimization and negative adjustment on the maintenance standards of the sub-maintenance conditions in the problem sub-maintenance condition set and the qualified sub-maintenance condition set to obtain optimized storage and maintenance conditions, and carrying out storage and maintenance on the target traditional Chinese medicine decoction pieces by adopting the optimized storage and maintenance conditions.
2. The method of claim 1, wherein collecting quality information for obtaining a plurality of quality indicators of the target herbal pieces-of-chinese-medicine under the current storage and maintenance conditions comprises:
acquiring and obtaining the cleanliness information of the target traditional Chinese medicine decoction pieces;
acquiring sheet type information and crushing granularity information of the target traditional Chinese medicine decoction pieces;
collecting and acquiring color information of the target traditional Chinese medicine decoction pieces;
collecting and acquiring odor information of the target traditional Chinese medicine decoction pieces;
acquiring moisture information of the target traditional Chinese medicine decoction pieces;
and taking the cleanliness information, the sheet type information, the crushing size information, the color information, the smell information and the moisture information as the current quality information set.
3. The method of claim 1, wherein obtaining a plurality of sub-curing conditions for which curing problems occur based on the problem quality information sets comprises:
constructing a maintenance condition analysis model;
inputting the problem quality information set into the maintenance condition analysis model to obtain an output result;
and obtaining the plurality of sub-curing conditions with curing problems according to the output result.
4. The method of claim 3, wherein the building of the maintenance condition analysis model comprises:
acquiring problem quality information of a plurality of traditional Chinese medicine decoction pieces under the current storage and maintenance conditions to obtain a plurality of sample problem quality information sets;
collecting and obtaining problem sub-curing conditions under the condition that a plurality of traditional Chinese medicine decoction pieces are cured by adopting the current storage and curing conditions, and obtaining a plurality of sample problem sub-curing condition sets;
constructing the maintenance condition analysis model based on the BP neural network;
dividing and identifying the sample problem quality information set and the sample problem sub-maintenance condition set to obtain training data, verification data and test data;
and performing supervision training, verification and testing on the maintenance condition analysis model by adopting the training data, the verification data and the test data until the accuracy of the maintenance condition analysis model meets the preset requirement, and obtaining the maintenance condition analysis model.
5. The method of claim 1, wherein the positively optimizing and negatively adjusting the curing criteria for sub-curing conditions within the problem sub-curing condition set and the qualified sub-curing condition set, respectively, comprises:
randomly carrying out forward optimization adjustment on the maintenance standards of the plurality of problem sub-maintenance conditions in the problem sub-maintenance condition set to obtain a plurality of problem sub-maintenance condition sets;
carrying out negative adjustment on the maintenance standards of a plurality of grid-closing maintenance conditions in the grid-closing maintenance condition set at random to obtain a plurality of grid-adjusting and integrating maintenance condition sets;
randomly combining the multiple adjustment problem sub-curing condition sets and the multiple adjustment integration grid curing condition sets to obtain multiple optimization schemes;
and carrying out global optimization in the plurality of optimization schemes to obtain the optimized storage and maintenance conditions.
6. The method of claim 5, wherein the performing global optimization within the plurality of optimization schemes based on the set of problem quality information comprises:
randomly selecting an optimization scheme from the plurality of optimization schemes as a first optimization scheme and as a current solution;
calculating to obtain a first optimization evaluation result of the first optimization scheme;
randomly selecting an optimization scheme from the plurality of optimization schemes as a second optimization scheme;
calculating to obtain a second optimization evaluation result of the second optimization scheme;
judging whether the second optimization evaluation result is larger than the first optimization evaluation result, if so, taking the second optimization scheme as the current solution, and if not, taking the second optimization scheme as the current solution according to the probability, wherein the probability is obtained by the following calculation:
Figure DEST_PATH_IMAGE001
wherein e is a natural logarithm, and the natural logarithm is a natural logarithm,
Figure DEST_PATH_IMAGE002
in order to optimize the result of the evaluation for the second time,
Figure DEST_PATH_IMAGE003
k is a searching optimization speed factor for a first optimization evaluation result;
and continuing global optimization until the optimization times reach preset times, and outputting the current solution to obtain the optimized storage and maintenance conditions.
7. The method of claim 6, wherein the calculating obtains a first optimization evaluation of the first optimization plan, comprising:
acquiring and obtaining the adjustment maintenance standard of a plurality of sub-maintenance conditions in the first optimization scheme;
evaluating the maintenance quality of the adjusted maintenance standard of the plurality of sub-maintenance conditions to obtain an optimized sub-evaluation result;
evaluating the maintenance cost of the adjusted maintenance standard of the plurality of sub-maintenance conditions to obtain a cost sub-evaluation result;
and performing weighted calculation on the optimization sub-evaluation result and the cost sub-evaluation result to obtain the first optimization evaluation result.
8. A system for improving the maintenance quality of herbal pieces, the system comprising:
the traditional Chinese medicine decoction piece determining module is used for obtaining target traditional Chinese medicine decoction pieces;
the maintenance quality standard acquisition module is used for acquiring and acquiring a quality standard of the target traditional Chinese medicine decoction pieces for storage and maintenance, wherein the quality standard comprises index standard information of a plurality of quality indexes;
a maintenance quality information acquisition module for acquiring quality information of a plurality of quality indexes of the target traditional Chinese medicine decoction pieces under the current storage and maintenance condition to obtain a current quality information set, wherein the current storage and maintenance condition comprises a plurality of sub-maintenance conditions, and each sub-maintenance condition comprises a maintenance standard;
the quality judgment module is used for judging whether the quality information in the current quality information set meets the index standard information in the quality standard or not to obtain a judgment result, and if the judgment result is yes, the target traditional Chinese medicine decoction piece is stored and maintained according to the storage and maintenance condition;
a problem quality information acquisition module, configured to, if the determination result is negative, obtain quality information that does not meet the multiple pieces of index standard information according to the determination result, and use the quality information as a problem quality information set;
the problem sub-curing condition acquisition module is used for acquiring a plurality of sub-curing conditions with curing problems according to the problem quality information set, and acquiring a problem sub-curing condition set and a qualified sub-curing condition set;
and the curing condition adjusting and optimizing module is used for respectively carrying out positive optimization and negative adjustment on the curing standards of the sub-curing conditions in the problem sub-curing condition set and the qualified sub-curing condition set to obtain optimized storage and curing conditions, and carrying out storage and curing on the target traditional Chinese medicine decoction pieces by adopting the optimized storage and curing conditions.
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