CN108389314A - A kind of medicine selling machine and its drug stock management method, storage medium - Google Patents
A kind of medicine selling machine and its drug stock management method, storage medium Download PDFInfo
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Abstract
The invention discloses a kind of medicine selling machine and its drug stock management method, storage mediums.Wherein, the quality guarantee period of the drug of monitoring drug stock control intracavitary includes：Obtain current drug query word and the corresponding multiple associations of current drug query word；According to current drug query word, corresponding multiple associations and associations analysis model trained in advance, predict that the drug corrupted values of the corresponding multiple associations of current drug query word, associations analysis model are generated in advance based on multiple training respectively；According to the drug corrupted values of the corresponding multiple associations of current drug query word, new service life is set for current drug.A kind of medicine selling machine and its drug stock management method, storage medium provided by the invention can carry out the prediction of service life by the characteristic of the foundation classification of drug, the service life of drug, the easy degree affected by environment of drug and drug itself, so that it is determined that drug control is time-bounded, the validity and utilization rate of drug are improved.
Description
Technical field
The present invention relates to a kind of medical field more particularly to a kind of medicine selling machines and its drug stock management method, storage to be situated between
Matter.
Background technology
Nowadays, health care becomes public the problem of increasingly paying close attention to, and the usage degree of different drugs is different,
Pot-life is inconsistent, and the drug preservation for specifically applying to automatic medicine selling machine is then even more important.
In general, the usage scenario of automatic medicine selling machine may outdoors, the service condition of drug can not be obtained clearly
Know, therefore the stock control of drug is always a problem, and because outdoor can suffer from the influence of weather, and then can influence
The service life of drug.
Therefore, the drug stock management of medicine selling machine is a urgent problem to be solved.
Invention content
In view of this, a kind of drug stock management method of medicine selling machine provided by the invention, medicine selling machine and storage medium energy
It is enough to solve the problems, such as that limit date of using a drug after its production limit susceptible is estimated wrong so as to cause service life in the prior art.
It can be right with drug stock management method, medicine selling machine and the storage medium of medicine selling machine provided in an embodiment of the present invention
The drug stock of automatic medicine selling machine is precisely monitored, and is replenished in time new drug, while being made by classification according to drug, drug
The prediction that service life is carried out with the characteristic of the time limit, the easy degree affected by environment of drug and drug itself, so that it is determined that drug
What is managed is time-bounded, improves the validity and utilization rate of drug.
To achieve the goals above, medicine selling machine includes drug stock control for storing drug in embodiment provided by the invention
Chamber, a kind of drug stock management method of medicine selling machine specifically include：
Establish the storage information bank of drug stock control intracavitary drug；
Monitor the quantity in stock of drug in storage chamber；
When quantity in stock is less than preset value, medicine selling machine sends inventory's early warning；
New drug is supplemented to the corresponding vacant locations of the drug stock control intracavitary of medicine selling machine.
Preferably, the method further includes the quality guarantee period for the drug for monitoring drug stock control intracavitary, is specifically included：
Obtain current drug query word and the corresponding multiple associations of the current drug query word；
Mould is analyzed according to the current drug query word, corresponding the multiple associations and associations trained in advance
Type predicts the drug corrupted values of the corresponding the multiple associations of the current drug query word, the associations analysis respectively
Model is generated in advance based on multiple training；
According to the drug corrupted values of the corresponding the multiple associations of the current drug query word, it is arranged for current drug
New service life.
Preferably, it is described according to the current drug query word, corresponding the multiple associations and in advance training
Associations analysis model, predict respectively the corresponding the multiple associations of the current drug query word drug corrupted values it
Before, the method further includes：
Training array is determined from the historical context item of the corresponding the multiple associations of the current drug query word；
The associations analysis model is trained using multigroup trained array, so that it is determined that the associations analyze mould
Type.
Preferably, the corresponding multiple associations of the current drug query word include classifying drugs item, drug service life
Item, drug degree easily affected by environment and drug characteristic item.
Preferably, described to be determined from the historical context item of the corresponding the multiple associations of the current drug query word
Training array specifically includes：
Matching training is carried out to the classifying drugs item according to history classifying drugs, obtains the first training array, described
One training array includes the first training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug service life according to drug service life, obtains the second training array, institute
It includes the second training array relating value and its phase answer seizure ratio to state the second training array；
Matching training is carried out to drug degree easily affected by environment under various circumstances according to drug, obtains third training
Array, the third training array include third training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug characteristic item according to the individual features of drug, obtains the 4th training array, it is described
4th training array includes the 4th training array relating value and its phase answer seizure ratio；
The matching analysis is carried out to the first training array, the second training array, third training array, the 4th training array
Obtain corresponding segmentation sequence；
Wherein, the segmentation sequence is the data sequence generated according to matching training result.
Preferably, described that the associations analysis model is trained using multigroup trained array, so that it is determined that the pass
Copula analysis model, specifically includes：
Train array, the second training array, third training array, the 4th training array according to the participle by described first
Sequence is converted to corresponding mark；
The corresponding trained array of the multiple associations for being converted into mark successively is input to the associations analysis mould
In type, minimum corrupted values are obtained according to the multiple associations after being converted to mark by the associations analysis model, and adjust
The parameter of the whole associations analysis model so that the associations analysis model convergence, so that it is determined that the associations are analyzed
Model.
Preferably, the drug corrupted values according to the corresponding the multiple associations of the current drug query word are
New service life is arranged in current drug, specifically includes：
According to the corrupted values of single associations in the multiple associations, the average impaired of the single associations is calculated
Value；
According to the average corrupted values of the single associations, the average corrupted values of the single associations are carried out at summation
Reason obtains the current drug and is damaged desired value；
It is damaged desired value according to current drug residue service life and the current drug, the current drug residue is made
It is damaged desired value with time limit and the current drug to carry out asking poor processing, obtains the new service life of the current drug.
Preferably, the calculation formula of the impaired desired value of the drug is：L=β * AVERAGE (D1*P1, D2*P2, D3*P3,
D4*P4), wherein L indicates that drug is damaged desired value, and β indicates to be damaged the factor, and AVERAGE expressions are averaged function, D1, D2,
D3, D4 indicate the first training array relating value, the second training array relating value, third training array relating value, the 4th instruction respectively
Practice array relating value, P1, P2, P3, P4 indicate that the first training array relating value accounting, the second training array relating value account for respectively
Than, third training array relating value accounting, the 4th training array relating value accounting.
A kind of drug stock management method of medicine selling machine provided in an embodiment of the present invention can by according to drug classification,
The characteristic of the service life of drug, the easy degree affected by environment of drug and drug itself carry out the prediction of service life, to
It determines the time-bounded of drug control, improves the validity and utilization rate of drug.
In addition, to achieve the above object, the present invention also provides a kind of medicine selling machine, the medicine selling machine includes：Memory, processing
Device and be stored on the memory and can be on the processor medicine selling machine drug stock management program, the medicine selling machine
Drug stock management program be arranged for carrying out the medicine selling machine drug stock management the step of.
In addition, to achieve the above object, the present invention also provides a kind of storage medium, medicine on sale is stored on the storage medium
The drug stock management program of machine, the drug stock management program of the medicine selling machine realize the medicine selling machine when being executed by processor
Drug stock management method the step of.
It can be right with drug stock management method, medicine selling machine and the storage medium of medicine selling machine provided in an embodiment of the present invention
The drug stock of automatic medicine selling machine is precisely monitored, and is replenished in time new drug, while being made by classification according to drug, drug
The prediction that service life is carried out with the characteristic of the time limit, the easy degree affected by environment of drug and drug itself, so that it is determined that drug
What is managed is time-bounded, improves the validity and utilization rate of drug.
Description of the drawings
Fig. 1 is a kind of flow diagram of the drug stock management method for medicine selling machine that the embodiment of the present invention one proposes；
Fig. 2 is a kind of flow diagram of the drug stock management method for medicine selling machine that the embodiment of the present invention two proposes；
Fig. 3 is a kind of flow diagram of the drug stock management method for medicine selling machine that the embodiment of the present invention three proposes；
Fig. 4 is a kind of flow diagram of the drug stock management method for medicine selling machine that the embodiment of the present invention four proposes；
Fig. 5 is a kind of flow diagram of the drug stock management method for medicine selling machine that the embodiment of the present invention five proposes
Fig. 6 shows the block diagram of the formula example medicine selling machine suitable for being used for realizing embodiment of the present invention.
Specific implementation mode
In the following, in conjunction with attached drawing and specific implementation mode, the present invention is described further, it should be noted that not
Under the premise of conflicting, new embodiment can be formed between embodiment described below or between technical characteristic in any combination.
Below with reference to the accompanying drawings the drug stock management method and medicine selling machine of a kind of medicine selling machine of present example are described.
Refering to fig. 1, Fig. 1 is that a kind of flow of the drug stock management method for medicine selling machine that the embodiment of the present invention one proposes is shown
It is intended to.
In step S101, the storage information bank of drug stock control intracavitary drug is established.
In step S102, the quantity in stock of drug in storage chamber is monitored；
In step S103, when quantity in stock is less than preset value, medicine selling machine sends inventory's early warning.
In step S104, the corresponding vacant locations of supplement new drug to the drug stock control intracavitary of medicine selling machine.
Specifically, medicine selling machine includes the drug stock control chamber for storing drug, the parameters such as classification, characteristic according to drug
A drug index is established, and builds on the corresponding drug stock control information bank of index according to corresponding index and is used for monitoring storage
The quantity in stock of intracavitary drug.
Further, it is sent also comprising monitoring mechanism in stock when quantity in stock is less than preset value in automatic medicine selling machine
Inventory's early warning, preset value are the drug stock percentage set by certain experiences or drug stock particular number, are such as preset
Value can be the 30% of drug stock total amount.
After receiving inventory's warning information, you can the corresponding vacancy position in supplement new drug to the drug storage chamber of medicine selling machine
It sets, it is however generally that, the drug of supplement should be identical drug with this drug is stored in before.
It can be to automatic medicine selling with drug stock management method, medicine selling machine and storage medium provided in an embodiment of the present invention
The drug stock of machine is precisely monitored, and new drug is replenished in time.
Referring to Fig.2, the flow that Fig. 2 is a kind of drug stock management method for medicine selling machine that the embodiment of the present invention two proposes is shown
It is intended to.Specifically, the detailed process of the quality guarantee period of the drug for the monitoring drug stock control intracavitary that Fig. 2, which is the embodiment of the present invention, to be proposed
Figure, steps are as follows：
In step S201, current drug query word and the corresponding multiple associations of current drug query word are obtained.
Specifically, current drug query word can be nomenclature of drug, such as aspirin, can be the part of nomenclature of drug such as
" Ah Si " for example when current drug query word is the part of nomenclature of drug, can directly pop up corresponding drop-down index
Frame shows the possible practical full name of nomenclature of drug, and specifically, the query result of current drug query word can be matched storage,
It is reminded for lower secondary index.
It should be noted that the corresponding multiple associations of current drug query word can be and influence the drug pot-life
Each factor, as drug is affected by temperature degree.
In step S202, according to current drug query word, corresponding multiple associations and associations trained in advance point
Model is analysed, predicts the drug corrupted values of the corresponding multiple associations of current drug query word respectively.
It is generated in advance specifically, associations analysis model is the multiple training based on artificial intelligence.
For example, current drug query word is aspirin, in this way corresponding to multiple associations of aspirin such as by
Temperature influence degree or classifying drugs item etc., the actual service condition of aspirin being directed in statistics are analyzed, from
And obtain aspirin and be affected by temperature degree accounting or classifying drugs item influence accounting, and then by repeatedly statistics, also
It is matching training, to obtain associations analysis model.
Further, when specific drug is inquired, by current drug query word, corresponding multiple associations and in advance
Trained associations analysis model, to predict the drug corrupted values of the corresponding multiple associations of current drug query word respectively.
It should be noted that drug corrupted values can be but be not limited to the limit date of using a drug after its production limit that drug is influenced by associations
Penalty values.
In step S203, according to the drug corrupted values of the corresponding multiple associations of current drug query word, for current drug
New service life is set.
Specifically, when the drug corrupted values of associations can be calculated, then drug residue service life can be utilized
The summation of the drug corrupted values of an associations is subtracted to obtain new service life, and carry out to the new service life of current drug
Record storage, in case next time is as new drug residue service life.
With medicine selling machine provided in an embodiment of the present invention drug stock management method can by according to drug classification,
The characteristic of the service life of drug, the easy degree affected by environment of drug and drug itself carry out the prediction of service life, to
It determines the time-bounded of drug control, improves the validity and utilization rate of drug.
Refering to Fig. 3, Fig. 3 is that a kind of flow of the drug stock management method for medicine selling machine that the embodiment of the present invention three proposes is shown
It is intended to.Specifically, Fig. 3 be the embodiment of the present invention two propose the current drug query word of basis, corresponding multiple associations and
Trained associations analysis model in advance, predicts the drug corrupted values of the corresponding multiple associations of current drug query word respectively
Before method, specifically include：
In step S301, training number is determined from the historical context item of the corresponding multiple associations of current drug query word
Group.
Specifically, currently the corresponding multiple associations of drug query word can be but be not limited to classifying drugs item, drug
Service life, drug degree easily affected by environment and drug characteristic item.
Specifically, historical context item can be the multiple associations before historical data or parameter, and from these
Determine that training array refers to these historical datas or parameter carrying out matching training as reference in historical context item, to unite
Count rule.
In step S302, associations analysis model is trained using multigroup trained array, so that it is determined that associations analysis model.
Specifically, when carrying out multigroup trained array training, by certain data or parameter accumulation to form one
Fixed objective data changing rule, and then associations analysis model is formed, certainly, when the numerical value of associations analysis model at any time
Variation.
It can be by making according to the classification of drug, drug with drug stock management method provided in an embodiment of the present invention
The prediction that service life is carried out with the characteristic of the time limit, the easy degree affected by environment of drug and drug itself, so that it is determined that drug
What is managed is time-bounded, improves the validity and utilization rate of drug.
Refering to Fig. 4, Fig. 4 is that a kind of flow of the drug stock management method for medicine selling machine that the embodiment of the present invention four proposes is shown
It is intended to.Specifically, Fig. 4 be the embodiment of the present invention three propose a kind of medicine selling machine drug stock management method more specifically
Method flow diagram.
Firstly the need of explanation, the corresponding multiple associations of current drug query word can be but be not limited to drug point
Category, drug service life, drug degree easily affected by environment and drug characteristic item.
In step S401, matching training is carried out to classifying drugs item according to classifying drugs, obtains the first training array.Its
In, the first training array includes the first training array relating value and its phase answer seizure ratio.
Classifying drugs can be divided into ethical goods and OTC OTC drugs, and OTC OTC drugs is divided into as the non-place of Class A
Prescription product and Class B OTC drugs.According to the difference of classifying drugs, the matching training of drug query word is carried out, it is such as that Class A is non-
The interrelated matching training for carrying out query word of the service life of certain several medicine in ethical goods, by continuous geo-statistic and
With the first training array is obtained, i.e., the digital collection of multiple correlation inquiry words, i.e., first trains array relating value, such as classifying drugs
Gather { 1,2,21 ... ..., 4 }, wherein representing drug with number, such as number 2 represents cold drug, and 21 represent Lonicera and Forsythia piece.
In step S402, matching training is carried out to drug service life according to drug service life, obtains the second training
Array.Wherein, the second training array includes the second training array relating value and its phase answer seizure ratio.
Specifically, drug service life is not a fixed exact time, according to official or chemical manufacturing plant quotient
The service life provided carries out the actual conditions training of service life, that is, is directed to drug actual use situation and is matched
Training with digital collection obtained from matching is that the second training array is associated with according to statistics to obtain the second training array
Value, such as service life { 3,2.3,1 ... ..., 2.5 }, wherein arithemetic unit is year.
In step S403, influences situation under various circumstances according to drug and matching instruction is carried out to drug degree easily affected by environment
Practice, obtains third training array.Wherein, third training array includes third training array relating value and its phase answer seizure ratio.
Specifically, under varying environment, may include in outdoor, indoor or confined space, by environment influenced can be with
It is temperature, moisture, humidity etc., needs to choose the big factor progress the matching analysis training of disturbance degree, such as when drug is in temperature
Influence degree when higher outdoor is how many, by constantly matching training, and then third training array is obtained, according to statistics
With obtained from matching quantify digital collection be third train array relating value, as environmental sensitivity index set 1,2,3 ... ...,
33 }, wherein representing varying environment influence factor with number, such as 1 temperature is represented, 2 represent moisture etc..
In step S404, matching training is carried out to drug characteristic item according to the individual features of drug, obtains the 4th training number
Group.Wherein, the 4th training array includes the 4th training array relating value and its phase answer seizure ratio.
Specifically, some specific characteristics of drug itself, such as to healing ability, the stability of disease, therefore according to difference
The individual features of drug carry out constantly matching training, and then obtain the 4th training array, obtained from statistics and matching
Quantization digital collection is the 4th training array relating value, is the 4th according to digital collection is quantified obtained from statistics and matching
Training array relating value, such as drug feature collection { 1,2,3 ... ..., 32 }, wherein with number come represent varying environment influence because
Element such as 1 represents healing ability, and 2 represent stability etc..
In step S405, the first training array, the second training array, third training array, the 4th training array are carried out
Determination obtains corresponding segmentation sequence.
Specifically, segmentation sequence is the data sequence generated according to classification and matching training result.
In step S406, by first train array, the second training array, third training array, the 4th training array according to
Segmentation sequence is converted to corresponding mark.
Specifically, it can be identified with symbol, number etc. to be identified to training array.
In step S407, the corresponding trained array of multiple associations for being converted into mark successively is input to associations analysis
In model, minimum corrupted values are obtained according to multiple associations after being converted to mark by associations analysis model, and adjust association
The parameter of item analysis model so that associations analysis model restrains, so that it is determined that associations analysis model.
Specifically, in the training process, array, the second training array, third training array, the 4th training are trained by first
The data sequence ID that array generates is input in associations analysis model, and the parameters in associations analysis model include at this time
Impaired factor-beta and training array associations accounting P etc. all use pre-set drug parameter calculation of initial value, training
When, which exports drug and is damaged desired value, and specific formula can indicate as follows：The drug is damaged desired value
Calculation formula be：
L=β * AVERAGE (D1*P1, D2*P2, D3*P3, D4*P4),
Wherein L indicates that drug is damaged desired value, and β indicates to be damaged the factor, and AVERAGE expressions are averaged function, D1, D2,
D3, D4 indicate the first training array relating value, the second training array relating value, third training array relating value, the 4th instruction respectively
Practice array relating value, P1, P2, P3, P4 indicate that the first training array relating value accounting, the second training array relating value account for respectively
Than, third training array relating value accounting, the 4th training array relating value accounting.
With medicine selling machine provided in an embodiment of the present invention drug stock management method can by according to drug classification,
The characteristic of the service life of drug, the easy degree affected by environment of drug and drug itself carry out the prediction of service life, to
It determines the time-bounded of drug control, improves the validity and utilization rate of drug.
Refering to Fig. 5, Fig. 5 is that a kind of flow of the drug stock management method for medicine selling machine that the embodiment of the present invention five proposes is shown
It is intended to.Specifically, Fig. 5 is the drug for the corresponding multiple associations of the current drug query word of basis that the embodiment of the present invention two proposes
The method flow diagram of new service life is arranged for current drug, specifically includes for the height of corrupted values：
In step S501, according to the corrupted values of single associations in multiple associations, calculate single associations it is average by
Damage value generates average corrupted values index.
In step S502, according to the average corrupted values of the corrupted values of single associations, to the average impaired of single associations
Value carries out summation process, obtains current drug and is damaged desired value.
In step S503, desired value is damaged according to current drug residue service life and current drug, it is surplus to current drug
Remaining service life is damaged desired value with current drug and carries out asking poor processing, obtains the new service life of current drug.
Specifically, carrying out retrieval according to average corrupted values index obtains the average corrupted values of multiple associations and multiple associations
In single associations average corrupted values.
The block diagram of the formula example medicine selling machine suitable for being used for realizing embodiment of the present invention is shown refering to Fig. 6, Fig. 6.
The medicine selling machine includes：Processor (processor) 61, memory (memory) 62, communication interface
(Communications Interface) 63 and bus 64；Wherein：
The processor 61, memory 62, communication interface 63 complete mutual communication by the bus 64；
The communication interface 63 is used for the information transmission between other medicine selling machines, and the medicine selling machine includes for storing drug
Drug stock control chamber.
The processor 61 is used to call the computer program in the memory 62, to execute above method embodiment institute
The drug stock management method of offer, specifically includes：
Establish the storage information bank of drug stock control intracavitary drug；
Monitor the quantity in stock of drug in storage chamber；
When quantity in stock is less than preset value, medicine selling machine sends inventory's early warning；
New drug is supplemented to the corresponding vacant locations of the drug stock control intracavitary of medicine selling machine.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
It the quality guarantee period of the drug for the monitoring drug stock control intracavitary that method embodiment is provided, specifically includes：
Obtain current drug query word and the corresponding multiple associations of the current drug query word；
Mould is analyzed according to the current drug query word, corresponding the multiple associations and associations trained in advance
Type predicts the drug corrupted values of the corresponding the multiple associations of the current drug query word, the associations analysis respectively
Model is generated in advance based on multiple training；
According to the drug corrupted values of the corresponding the multiple associations of the current drug query word, it is arranged for current drug
New service life.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
Method embodiment provided it is described according to the current drug query word, corresponding the multiple associations and in advance training
Associations analysis model, predict respectively the corresponding the multiple associations of the current drug query word drug corrupted values it
Before, the method further includes：
Training array is determined from the historical context item of the corresponding the multiple associations of the current drug query word；
The associations analysis model is trained using multigroup trained array, so that it is determined that the associations analyze mould
Type.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
The drug stock management method that method embodiment is provided further includes, and the corresponding multiple associations of the current drug query word include
Classifying drugs item, drug service life, drug degree easily affected by environment and drug characteristic item.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
Method embodiment provided it is described from the historical context item of the corresponding the multiple associations of the current drug query word really
Train array to specifically include surely：
Matching training is carried out to the classifying drugs item according to history classifying drugs, obtains the first training array, described
One training array includes the first training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug service life according to drug service life, obtains the second training array, institute
It includes the second training array relating value and its phase answer seizure ratio to state the second training array；
Matching training is carried out to drug degree easily affected by environment under various circumstances according to drug, obtains third training
Array, the third training array include third training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug characteristic item according to the individual features of drug, obtains the 4th training array, it is described
4th training array includes the 4th training array relating value and its phase answer seizure ratio；
The matching analysis is carried out to the first training array, the second training array, third training array, the 4th training array
Obtain corresponding segmentation sequence；
Wherein, the segmentation sequence is the data sequence generated according to matching training result.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
Method embodiment is provided described using multigroup trained array training associations analysis model, so that it is determined that the pass
Copula analysis model, specifically includes：
Train array, the second training array, third training array, the 4th training array according to the participle by described first
Sequence is converted to corresponding mark；
The corresponding trained array of the multiple associations for being converted into mark successively is input to the associations analysis mould
In type, minimum corrupted values are obtained according to the multiple associations after being converted to mark by the associations analysis model, and adjust
The parameter of the whole associations analysis model so that the associations analysis model convergence, so that it is determined that the associations are analyzed
Model.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
The drug corrupted values according to the corresponding the multiple associations of the current drug query word that method embodiment is provided are
New service life is arranged in current drug, specifically includes：
According to the corrupted values of single associations in the multiple associations, the average impaired of the single associations is calculated
Value；
According to the average corrupted values of the single associations, the average corrupted values of the single associations are carried out at summation
Reason obtains the current drug and is damaged desired value；
It is damaged desired value according to current drug residue service life and the current drug, the current drug residue is made
It is damaged desired value with time limit and the current drug to carry out asking poor processing, obtains the new service life of the current drug.
Further, the processor 51 is used to call the computer program in the memory 52, to execute above-mentioned side
The drug stock management method that method embodiment is provided further includes that the calculation formula that the drug is damaged desired value is：L=β *
AVERAGE (D1*P1, D2*P2, D3*P3, D4*P4), wherein L indicate that drug is damaged desired value, and β indicates to be damaged the factor,
AVERAGE indicates that function of averaging, D1, D2, D3, D4 indicate that the first training array relating value, the second training array close respectively
Connection value, third training array relating value, the 4th training array relating value, P1, P2, P3, P4 indicate that the first training array is closed respectively
Connection value accounting, the second training array relating value accounting, third training array relating value accounting, the 4th training array relating value account for
Than.
It can be to automatic medicine selling with drug stock management method, medicine selling machine and storage medium provided in an embodiment of the present invention
The drug stock of machine is precisely monitored, and is replenished in time new drug, at the same by the service life of classification, drug according to drug,
Drug it is easy it is affected by environment degree and drug itself characteristic carry out service life prediction, so that it is determined that drug control when
It is sex-limited, improve the validity and utilization rate of drug.
In addition, the embodiment of the present invention also proposes a kind of storage medium, drug stock management is stored on the storage medium
Program realizes following operation when the drug stock management program is executed by processor：
Establish the storage information bank of drug stock control intracavitary drug；
Monitor the quantity in stock of drug in storage chamber；
When quantity in stock is less than preset value, medicine selling machine sends inventory's early warning；
New drug is supplemented to the corresponding vacant locations of the drug stock control intracavitary of medicine selling machine.
Further, following operation is realized when the drug stock management program is executed by processor：
Obtain current drug query word and the corresponding multiple associations of the current drug query word；
Mould is analyzed according to the current drug query word, corresponding the multiple associations and associations trained in advance
Type predicts the drug corrupted values of the corresponding the multiple associations of the current drug query word, the associations analysis respectively
Model is generated in advance based on multiple training；
According to the drug corrupted values of the corresponding the multiple associations of the current drug query word, it is arranged for current drug
New service life.
Further, following operation is realized when the drug stock management program is executed by processor：
Training array is determined from the historical context item of the corresponding the multiple associations of the current drug query word；
The associations analysis model is trained using multigroup trained array, so that it is determined that the associations analyze mould
Type.
Further, following operation, the current drug are realized when the drug stock management program is executed by processor
The corresponding multiple associations of query word include classifying drugs item, drug service life, drug degree easily affected by environment and medicine
Product characteristic item.
Further, following operation is realized when the drug stock management program is executed by processor：
Matching training is carried out to the classifying drugs item according to history classifying drugs, obtains the first training array, described
One training array includes the first training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug service life according to drug service life, obtains the second training array, institute
It includes the second training array relating value and its phase answer seizure ratio to state the second training array；
Matching training is carried out to drug degree easily affected by environment under various circumstances according to drug, obtains third training
Array, the third training array include third training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug characteristic item according to the individual features of drug, obtains the 4th training array, it is described
4th training array includes the 4th training array relating value and its phase answer seizure ratio；
The matching analysis is carried out to the first training array, the second training array, third training array, the 4th training array
Obtain corresponding segmentation sequence；
Wherein, the segmentation sequence is the data sequence generated according to matching training result.
Further, following operation is realized when the drug stock management program is executed by processor：
Train array, the second training array, third training array, the 4th training array according to the participle by described first
Sequence is converted to corresponding mark；
The corresponding trained array of the multiple associations for being converted into mark successively is input to the associations analysis mould
In type, minimum corrupted values are obtained according to the multiple associations after being converted to mark by the associations analysis model, and adjust
The parameter of the whole associations analysis model so that the associations analysis model convergence, so that it is determined that the associations are analyzed
Model.
Further, following operation is realized when the drug stock management program is executed by processor：
According to the corrupted values of single associations in the multiple associations, the average impaired of the single associations is calculated
Value.；
According to the average corrupted values of the single associations, the average corrupted values of the single associations are carried out at summation
Reason obtains the current drug and is damaged desired value；
It is damaged desired value according to current drug residue service life and the current drug, the current drug residue is made
It is damaged desired value with time limit and the current drug to carry out asking poor processing, obtains the new service life of the current drug.
Further, realize that following operation, the drug are impaired when the drug stock management program is executed by processor
The calculation formula of desired value is：L=β * AVERAGE (D1*P1, D2*P2, D3*P3, D4*P4), wherein L indicate that drug is damaged the phase
Prestige value, β indicate that the impaired factor, AVERAGE indicate that function of averaging, D1, D2, D3, D4 indicate that the first training array is closed respectively
Connection value, the second training array relating value, third training array relating value, the 4th training array relating value, P1, P2, P3, P4 difference
Indicate the first training array relating value accounting, the second training array relating value accounting, third training array relating value accounting, the 4th
Training array relating value accounting.
It can pass through the classification according to drug, drug with drug stock provided in an embodiment of the present invention management storage medium
Service life, drug it is easy it is affected by environment degree and drug itself characteristic carry out service life prediction, so that it is determined that
Drug control it is time-bounded, improve the validity and utilization rate of drug.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, it can also be directly from net
Network is downloaded, or is obtained using other modes.Therefore, the computer-readable medium in the present embodiment may include not only tangible
Medium can also include invisible medium.
The arbitrary combination of one or more computer-readable media may be used in the computer storage media of the present embodiment.
Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer-readable storage medium
Matter for example may be-but not limited to-system, device or the device of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or
The arbitrary above combination of person.The more specific example (non exhaustive list) of computer readable storage medium includes：There are one tools
Or the electrical connections of multiple conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only memory (ROM),
Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light
Memory device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer readable storage medium can
With to be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
Person is in connection.
Computer-readable signal media may include in a base band or as the data-signal that a carrier wave part is propagated,
Wherein carry computer-readable program code.Diversified forms may be used in the data-signal of this propagation, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission for by instruction execution system, device either device use or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
It can be write with one or more programming languages or combinations thereof for executing the computer that operates of the present invention
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partly executes or executed on a remote computer or server completely on the remote computer on the user computer.
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as carried using Internet service
It is connected by internet for quotient).
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, the functional unit in of the invention embodiment can be integrated in a processing unit, can also be
Unit physically exists alone, can also be during two or more units are integrated in one unit.Above-mentioned integrated unit both may be used
It realizes, can also be realized in the form of hardware adds SFU software functional unit in the form of using hardware.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can be stored in one and computer-readable deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
Medicine selling machine (can be personal computer, server or network medicine selling machine etc.) or processor (processor) execute the present invention
The part steps of a embodiment the method.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), the kinds such as magnetic disc or CD can
To store the medium of program code.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (10)
1. a kind of drug stock management method of medicine selling machine, the medicine selling machine includes the drug stock control chamber for storing drug,
It is characterized in that, the method includes：
Establish the storage information bank of drug stock control intracavitary drug；
Monitor the quantity in stock of drug in storage chamber；
When quantity in stock is less than preset value, medicine selling machine sends inventory's early warning；
New drug is supplemented to the corresponding vacant locations of the drug stock control intracavitary of medicine selling machine.
2. a kind of drug stock management method of medicine selling machine according to claim 1, which is characterized in that the method is also wrapped
It the quality guarantee period for including the drug of monitoring drug stock control intracavitary, specifically includes：
Obtain current drug query word and the corresponding multiple associations of the current drug query word；
According to the current drug query word, corresponding the multiple associations and associations analysis model trained in advance,
The drug corrupted values of the corresponding the multiple associations of the current drug query word, the associations analysis model are predicted respectively
It is generated in advance based on multiple training；
According to the drug corrupted values of the corresponding the multiple associations of the current drug query word, new for the setting of current drug
Service life.
3. a kind of drug stock management method of medicine selling machine according to claim 2, which is characterized in that described in the basis
Current drug query word, corresponding the multiple associations and associations analysis model trained in advance, respectively described in prediction
Currently before the drug corrupted values of the corresponding the multiple associations of drug query word, the method further includes：
Training array is determined from the historical context item of the corresponding the multiple associations of the current drug query word；
The associations analysis model is trained using multigroup trained array, so that it is determined that the associations analysis model.
4. a kind of drug stock management method of medicine selling machine according to claim 3, which is characterized in that the current drug
The corresponding multiple associations of query word include classifying drugs item, drug service life, drug degree easily affected by environment and medicine
Product characteristic item.
5. a kind of drug stock management method of medicine selling machine according to claim 4, which is characterized in that described to work as from described
Determine that training array specifically includes in the historical context item of the corresponding the multiple associations of preceding drug query word：
Matching training is carried out to the classifying drugs item according to history classifying drugs, obtains the first training array, first instruction
It includes the first training array relating value and its phase answer seizure ratio to practice array；
Matching training is carried out to the drug service life according to drug service life, obtains the second training array, described the
Two training arrays include the second training array relating value and its phase answer seizure ratio；
Matching training is carried out to drug degree easily affected by environment under various circumstances according to drug, obtains third training number
Group, the third training array include third training array relating value and its phase answer seizure ratio；
Matching training is carried out to the drug characteristic item according to the individual features of drug, obtain the 4th training array, the described 4th
Training array includes the 4th training array relating value and its phase answer seizure ratio；
Are carried out by the matching analysis and is obtained for the first training array, the second training array, third training array, the 4th training array
Corresponding segmentation sequence；
Wherein, the segmentation sequence is the data sequence generated according to matching training result.
6. the drug stock management method of a kind of medicine selling machine of any one of them according to claim 4 or 5, which is characterized in that institute
It states and the associations analysis model is trained using multigroup trained array, so that it is determined that the associations analysis model, specifically
Including：
Train array, the second training array, third training array, the 4th training array according to the segmentation sequence by described first
Be converted to corresponding mark；
The corresponding trained array of the multiple associations for being converted into mark successively is input in the associations analysis model,
Minimum corrupted values are obtained according to the multiple associations after being converted to mark by the associations analysis model, and described in adjustment
The parameter of associations analysis model so that the associations analysis model convergence, so that it is determined that the associations analysis model.
7. according to a kind of drug stock management method of medicine selling machine of claim 1-5 any one of them, which is characterized in that described
According to the drug corrupted values of the corresponding the multiple associations of the current drug query word, new use is set for current drug
Time limit specifically includes：
According to the corrupted values of single associations in the multiple associations, the average corrupted values of the single associations are calculated；
According to the average corrupted values of the single associations, summation process is carried out to the average corrupted values of the single associations,
It obtains the current drug and is damaged desired value；
It is damaged desired value according to current drug residue service life and the current drug, to the current drug residue validity period
Limit is damaged desired value with the current drug and carries out asking poor processing, obtains the new service life of the current drug.
8. a kind of drug stock management method of medicine selling machine according to claim 7, which is characterized in that the drug is impaired
The calculation formula of desired value is：L=β * AVERAGE (D1*P1, D2*P2, D3*P3, D4*P4), wherein L indicate that drug is damaged the phase
Prestige value, β indicate that the impaired factor, AVERAGE indicate that function of averaging, D1, D2, D3, D4 indicate that the first training array is closed respectively
Connection value, the second training array relating value, third training array relating value, the 4th training array relating value, P1, P2, P3, P4 difference
Indicate the first training array relating value accounting, the second training array relating value accounting, third training array relating value accounting, the 4th
Training array relating value accounting.
9. a kind of medicine selling machine, which is characterized in that the medicine selling machine includes：
Cabinet, the cabinet include the drug stock control chamber for storing drug, the drug stock control chamber include several temperature not
Same region；Temperature control system, for controlling within the scope of the temperature that each region is maintained at default；
One or more processors；
Memory, for storing one or more programs,
When one or more of programs are executed by one or more of processors so that one or more of processors are real
The now drug stock management method as described in any one of claim 1-8.
10. a kind of computer-readable medium is stored thereon with the drug stock management program of medicine selling machine, which is characterized in that this is sold
The drug such as medicine selling machine according to any one of claims 1-8 is realized when the drug stock management program of medicine machine is executed by processor
Inventory management method.
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| CN108389314B (en) | 2021-07-13 |
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