CN116433097B - Injection packaging quality detection method and system - Google Patents
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- 238000002347 injection Methods 0.000 title claims abstract description 190
- 239000007924 injection Substances 0.000 title claims abstract description 190
- 238000004806 packaging method and process Methods 0.000 title claims abstract description 107
- 238000001514 detection method Methods 0.000 title claims abstract description 55
- 238000002360 preparation method Methods 0.000 claims abstract description 172
- 238000000034 method Methods 0.000 claims abstract description 35
- 238000004458 analytical method Methods 0.000 claims description 42
- 239000000203 mixture Substances 0.000 claims description 33
- 238000009472 formulation Methods 0.000 claims description 31
- 238000002372 labelling Methods 0.000 claims description 31
- 239000005871 repellent Substances 0.000 claims description 31
- 238000011156 evaluation Methods 0.000 claims description 21
- 206010034960 Photophobia Diseases 0.000 claims description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 9
- 206010057040 Temperature intolerance Diseases 0.000 claims description 8
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 4
- 239000007789 gas Substances 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 239000002131 composite material Substances 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 8
- 238000007418 data mining Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 6
- 239000003795 chemical substances by application Substances 0.000 description 6
- 239000003814 drug Substances 0.000 description 4
- 230000036512 infertility Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 239000003708 ampul Substances 0.000 description 3
- 230000001754 anti-pyretic effect Effects 0.000 description 3
- 239000002221 antipyretic Substances 0.000 description 3
- 229940079593 drug Drugs 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000005855 radiation Effects 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000013329 compounding Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011016 integrity testing Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000005022 packaging material Substances 0.000 description 1
- 238000012858 packaging process Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
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Abstract
The invention discloses a method and a system for detecting the packaging quality of injection, which relate to the technical field of packaging, and the method comprises the following steps: acquiring a history injection packaging record; acquiring a first injection and matching first historical package data; acquiring preset factor indexes, obtaining first preparation characteristics of a first injection, and constructing an injection packaging database; analyzing a target injection preparation to obtain target preparation characteristics and obtaining a first comparison result; constructing a target reference package list, wherein the target reference package list comprises Q preparation packages; sequentially analyzing and determining preset preparation packages; and obtaining a target package of the target injection preparation, and comparing the target package with a preset preparation package to obtain a quality detection result. Solves the problems of low detection efficiency and poor detection result accuracy in the injection packaging quality detection in the prior art. The intelligent degree of the injection packaging quality detection is improved through the computer data mining technology, and the technical effects of improving the injection packaging detection efficiency and detection accuracy are achieved.
Description
Technical Field
The invention relates to the technical field of packaging, in particular to a method and a system for detecting the packaging quality of injection.
Background
Medicine packaging is an integral part of medicines, along with the whole process of production, circulation and use of medicines. Wherein, the injection is taken as a special medicine, and the sterility of the injection directly relates to the life safety of patients. In the prior art, when the sterility of the injection is checked, the sterility requirement cannot be specifically checked in the whole life cycle, so that the checking efficiency is low and the checking accuracy is poor. Accordingly, the prior art often replaces the sterility test of injectables by seal integrity testing. However, when the integrity of the injection is checked, because different detection modes are often required for various injections with different purposes and different manufacturing processes, manual inspection is easily affected by subjective factors of detection personnel, and the detection accuracy is also problematic while the inspection efficiency is low. Therefore, the intelligent quality detection and evaluation of the package of the injection by using the computer data mining technology are studied, and the method has important significance for improving the quality detection of the package of the injection.
However, the injection packaging quality detection in the prior art has the technical problems of low detection efficiency and poor detection result accuracy, thereby affecting the safe and stable use of the injection.
Disclosure of Invention
The invention aims to provide a method and a system for detecting the packaging quality of an injection, which are used for solving the technical problems of low detection efficiency and poor accuracy of detection results in the detection of the packaging quality of the injection in the prior art, thereby affecting the safe and stable use of the injection.
In view of the above problems, the present invention provides a method and a system for detecting the quality of injection packages.
In a first aspect, the present invention provides a method for detecting the packaging quality of an injection, the method being implemented by an injection packaging quality detection system, wherein the method comprises: acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1; acquiring first injections of the P injections, and matching first historical package data of the first injections in the P groups of historical package data; acquiring a preset factor index, analyzing and obtaining a first preparation characteristic of the first injection based on the preset factor index, and constructing an injection packaging database by combining the first historical packaging data; analyzing a target injection preparation to obtain target preparation characteristics, and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result; constructing a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is less than P; sequentially analyzing the Q preparation packages, and determining preset preparation packages according to analysis results; and obtaining a target package of the target injection preparation, and comparing the target package with the preset preparation package to obtain a quality detection result of the target package.
In a second aspect, the present invention also provides an injection package quality detection system for performing an injection package quality detection method according to the first aspect, wherein the system comprises: the first acquisition module is used for acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1; the second acquisition module is used for acquiring first injections of the P injections and matching first historical package data of the first injections in the P groups of historical package data; the intelligent construction module is used for acquiring preset factor indexes, analyzing and obtaining first preparation characteristics of the first injection based on the preset factor indexes, and constructing an injection packaging database by combining the first historical packaging data; the first comparison module is used for analyzing the target injection preparation to obtain target preparation characteristics and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result; the intelligent building module is used for building a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is smaller than P; the analysis and determination module is used for sequentially analyzing the Q preparation packages and determining preset preparation packages according to analysis results; and the second comparison module is used for acquiring a target package of the target injection preparation and comparing the target package with the preset preparation package to obtain a quality detection result of the target package.
In a third aspect, a computer readable storage medium has stored thereon a computer program which, when executed, implements the steps of the method according to any of the first aspects.
One or more technical schemes provided by the invention have at least the following technical effects or advantages:
acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1; acquiring first injections of the P injections, and matching first historical package data of the first injections in the P groups of historical package data; acquiring a preset factor index, analyzing and obtaining a first preparation characteristic of the first injection based on the preset factor index, and constructing an injection packaging database by combining the first historical packaging data; analyzing a target injection preparation to obtain target preparation characteristics, and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result; constructing a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is less than P; sequentially analyzing the Q preparation packages, and determining preset preparation packages according to analysis results; and obtaining a target package of the target injection preparation, and comparing the target package with the preset preparation package to obtain a quality detection result of the target package. The intelligent degree of the injection packaging quality detection is improved through the computer data mining technology, and the technical effects of improving the injection packaging detection efficiency and detection accuracy are achieved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for detecting the quality of injection package according to the present invention;
FIG. 2 is a schematic flow chart of the method for detecting the quality of the package of the injection according to the present invention, wherein the first component characteristic is analyzed to obtain the first preparation characteristic;
FIG. 3 is a flow chart of the first comparison result obtained in the method for detecting the quality of injection package according to the present invention;
FIG. 4 is a flow chart of adding the first historical package data to the target reference package list in an injection package quality inspection method according to the present invention;
FIG. 5 is a schematic flow chart of the injection package quality detection method according to the present invention, wherein the second package is used as the preset preparation package instead of the first package;
fig. 6 is a schematic structural diagram of an injection package quality detection system according to the present invention.
Reference numerals illustrate:
the system comprises a first acquisition module 11, a second acquisition module 12, an intelligent construction module 13, a first comparison module 14, an intelligent construction module 15, an analysis determination module 16 and a second comparison module 17.
Detailed Description
The invention provides a method and a system for detecting the packaging quality of an injection, which solve the technical problems of low detection efficiency and poor accuracy of detection results in the detection of the packaging quality of the injection in the prior art, thereby affecting the safe and stable use of the injection. The intelligent degree of the injection packaging quality detection is improved through the computer data mining technology, and the technical effects of improving the injection packaging detection efficiency and detection accuracy are achieved.
In the following, the technical solutions of the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention, and that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
Example 1
Referring to fig. 1, the invention provides a method for detecting the packaging quality of an injection, wherein the method is applied to a system for detecting the packaging quality of the injection, and specifically comprises the following steps:
step S100: acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1;
specifically, the injection packaging quality detection method is applied to an injection packaging quality detection system, an injection packaging database can be constructed through a computer data mining technology, and then intelligent detection of the injection packaging quality is performed based on the database, so that the effects of improving the injection packaging detection efficiency and detection accuracy are achieved.
Firstly, based on the big data collection, the packaging data record of the injection is obtained by historically packaging the injection. The historical injection packaging record comprises P groups of historical packaging data of P injections, wherein P is an integer greater than or equal to 1. That is, the historical injection packaging record includes packaging schedule data for injections of various compositions, no compounding, no manufacturing process, different uses, etc., as exemplified by packaging processes, material characteristics of packaging materials, etc. By acquiring the historical injection package record, a real and effective data basis is provided for the subsequent establishment of an injection package database, and the effect of improving the effectiveness and availability of the database is achieved.
Step S200: acquiring first injections of the P injections, and matching first historical package data of the first injections in the P groups of historical package data;
specifically, after the historical injection packaging record is acquired, randomly extracting the recording data of any injection in the historical injection packaging record, namely acquiring a first injection, and matching the first historical packaging data of the first injection in the P groups of historical packaging data. That is, each injection is analyzed in turn, and the packaging data of the injection is correspondingly matched with the packaging data of the injection during the history packaging, so that the corresponding and mapping relation between the type of the injection and the packaging of the injection is established, and a foundation is provided for the subsequent construction of an injection packaging database.
Step S300: acquiring a preset factor index, analyzing and obtaining a first preparation characteristic of the first injection based on the preset factor index, and constructing an injection packaging database by combining the first historical packaging data;
further, the present invention includes:
the preset factor index comprises preparation photophobia, preparation heat resistance, preparation water resistance, preparation oxygen resistance, preparation gas resistance and preparation radioactivity.
Further, as shown in fig. 2, step S300 of the present invention includes:
step S310: obtaining a first formula of the first injection, and extracting a first component in the first formula;
step S320: acquiring the preparation photophobia in the preset factor index, and performing characteristic analysis on the first component to obtain the photophobia characteristic of the first component;
step S330: acquiring the preparation heat intolerance in the preset factor indexes, and performing characteristic analysis on the first component to obtain the heat intolerance characteristic of the first component;
step S340: acquiring the preparation water repellency in the preset factor index, and performing characteristic analysis on the first component to obtain the water repellency characteristic of the first component;
step S350: acquiring the preparation oxygen-intolerance in the preset factor index, and performing feature analysis on the first component to obtain the first component oxygen-intolerance feature;
Step S360: acquiring the preparation gas-intolerance in the preset factor index, and carrying out characteristic analysis on the first component to obtain the first component gas-intolerance characteristic;
step S370: acquiring the radioactivity of the preparation in the preset factor indexes, and performing feature analysis on the first component to obtain a first component radioactivity feature;
step S380: the first component photophobic feature, the first component thermophilic feature, the first component water-repellent feature, the first component oxygen-repellent feature, the first component gas-repellent feature, the first component radiological feature together comprise a first component feature of the first component;
step S390: analyzing the first component characteristic to obtain the first formulation characteristic.
Further, step S390 of the present invention includes:
step S391: extracting a second component feature from the first formulation feature;
step S392: wherein the second component characteristic comprises a second component photophobic characteristic, a second component thermophilic characteristic, a second component water-repellent characteristic, a second component oxygen-repellent characteristic, a second component gas-repellent characteristic, a second component emissive characteristic;
step S393: sequentially comparing the first component photophobic feature with the second component photophobic feature, the first component antipyretic feature with the second component photophobic feature, the first component photophobic feature with the second component photophobic feature, the first component aerobical feature with the second component aerobical feature, the first component radiometric feature with the second component radiometric feature to obtain a comparison result;
Step S394: and determining the first preparation characteristic according to the comparison result.
Specifically, the preset factor index refers to an index that needs to collect characteristics of the injection, that is, a key characteristic factor of the injection that affects packaging of the injection. Exemplary composition characteristics such as injection affect whether packaging should be considered in light-shielding packaging, etc. The preset factor index comprises preparation photophobia, preparation heat resistance, preparation water resistance, preparation oxygen resistance, preparation gas resistance and preparation radioactivity. And carrying out targeted analysis and acquisition on the characteristic condition of the first injection according to the preset factor index.
Specifically, a first formulation of the first injection is first analyzed and obtained, and a first component in the first formulation is extracted. Wherein the first component refers to any component for preparing the first injection. And then obtaining the preparation photophobia in the preset factor index, and carrying out characteristic analysis on the first component to correspondingly obtain the photophobia characteristic of the first component. And then, obtaining the heat intolerance of the preparation in the preset factor indexes, and carrying out characteristic analysis on the first component to correspondingly obtain the heat intolerance characteristic of the first component. And then, acquiring the water repellency of the preparation in the preset factor index, and carrying out characteristic analysis on the first component to correspondingly obtain the water repellency characteristic of the first component. And then, acquiring the oxygen-intolerance of the preparation in the preset factor index, and carrying out characteristic analysis on the first component to correspondingly obtain the oxygen-intolerance characteristic of the first component. And then, acquiring the preparation gas-intolerance in the preset factor index, and carrying out characteristic analysis on the first component to correspondingly obtain the gas-intolerance characteristic of the first component. And then, acquiring the radioactivity of the preparation in the preset factor index, and carrying out feature analysis on the first component to correspondingly obtain the first component radioactivity feature. Finally, the first component photophobic feature, the first component thermophilic feature, the first component water-repellent feature, the first component oxygen-repellent feature, the first component gas-repellent feature, the first component emissive feature of the first component are combined, i.e., the first component feature of the first component is composed. Finally, a first formulation profile of the first injection is obtained by analyzing the profile of all components of the first injection.
When the first component characteristic is analyzed to obtain the first preparation characteristic, firstly randomly extracting the characteristic of any component except the first component characteristic in the first preparation characteristic, namely, the second component characteristic. Wherein the second component characteristic comprises a second component photophobic characteristic, a second component thermophilic characteristic, a second component water-repellent characteristic, a second component oxygen-repellent characteristic, a second component gas-repellent characteristic, and a second component emissive characteristic. The first component characteristic is then compared with the second component characteristic, that is, the first component photophobic feature and the second component photophobic feature, the first component antipyretic feature and the second component antiphobic feature, the first component photophobic feature and the second component photophobic feature, the first component oxygen-repellent feature and the second component oxygen-repellent feature, the first component gas-repellent feature and the second component gas-repellent feature, and the first component radiation feature and the second component radiation feature are sequentially compared to obtain a comparison result. If the first component photophobic feature is better than the second component photophobic feature, the second component photophobic feature is used as the photophobic feature of the first injection, that is, the worst feature of each component is used as the feature of the corresponding component of the first injection according to the barrel principle. And finally determining the first preparation characteristic according to the comparison result.
Step S400: analyzing a target injection preparation to obtain target preparation characteristics, and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result;
further, as shown in fig. 3, step S400 of the present invention includes:
step S410: obtaining a preset label scheme;
step S420: labeling the target preparation characteristics according to the preset labeling scheme to obtain a target labeling result;
step S430: labeling the first preparation characteristics according to the preset labeling scheme to obtain a first labeling result;
step S440: and comparing the target label result with the first label result to obtain the first comparison result.
Specifically, the target injection preparation is analyzed based on the preset factor index, the target preparation characteristics are correspondingly obtained, and then the target injection preparation is compared with the first preparation characteristics, so that a first comparison result is obtained. Specifically, a preset labeling scheme is first obtained. The preset label scheme is a grade and grade demarcation method of a packaging scheme which is determined by a professional injection packaging technician after comprehensive analysis and corresponds to each characteristic of the injection based on the actual injection packaging requirement, the historical packaging experience and the like. If a certain injection is required to be protected from light, the inner package of the injection is packaged in a brown ampoule, the brown saturation of the ampoule is different, and the corresponding light-resistant package grades are different. And then labeling the target preparation characteristics according to the preset labeling scheme to obtain a target labeling result. And simultaneously, labeling the first preparation characteristics according to the preset labeling scheme to obtain a first labeling result. Exemplary examples are a case where a certain injection ampoule has a brown saturation of 10% -30%, a case where a brown saturation of 30% -60% corresponds to the mark D, a case where a brown saturation of 60% -90% corresponds to the mark C, a case where a brown saturation of 90% or more corresponds to the mark B, and a case where a brown saturation of 90% or more corresponds to the mark a. And finally, comparing the target label result with the first label result to obtain the first comparison result.
Step S500: constructing a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is less than P;
further, as shown in fig. 4, step S500 of the present invention includes:
step S510: acquiring a first feature tag comparison result in the first comparison result;
step S520: the first characteristic label comparison result refers to a comparison result of a first label of a first characteristic of the target preparation characteristic and a second label of the first characteristic of the first preparation characteristic;
step S530: if the second label is more than or equal to the first label, the first historical package data is called;
step S540: the first historical packaging data is added to the target reference packaging list.
Specifically, a target reference package list is established according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is less than P. Specifically, first feature tag comparison results in the first comparison results are obtained first. The first characteristic label comparison result refers to a comparison result of a first label of a first characteristic of the target formulation characteristic with a second label of the first characteristic of the first formulation characteristic. And if the second label is greater than or equal to the first label, retrieving the first historical package data, and adding the first historical package data to the target reference package list. That is, the package satisfying the target injection formulation in the historical packaging scheme data is taken as a candidate reference package for the package of the target injection formulation.
Step S600: sequentially analyzing the Q preparation packages, and determining preset preparation packages according to analysis results;
further, as shown in fig. 5, step S600 of the present invention includes:
step S610: acquiring a first package in the Q preparation packages, and taking the first package as the preset preparation package;
step S620: acquiring a preset evaluation scheme, and calculating a first package comprehensive index of the first package based on the preset evaluation scheme;
further, step S620 of the present invention includes:
step S621: constructing an evaluation index set;
step S622: wherein the evaluation index set includes a package safety index and a package cost index;
step S623: obtaining a first security level of the first package according to the package security index;
step S624: obtaining a first cost level of the first package according to the package cost index;
step S625: and carrying out weighted calculation on the first security level and the first cost level to obtain the first package comprehensive index.
Step S630: obtaining a second package after the first package according to the target reference package list, and calculating a second package comprehensive index;
Step S640: and if the second package comprehensive index is larger than the first package comprehensive index, replacing the first package with the second package to be used as the preset preparation package.
Step S700: and obtaining a target package of the target injection preparation, and comparing the target package with the preset preparation package to obtain a quality detection result of the target package.
Specifically, the Q preparation packages are analyzed sequentially, and a preset preparation package is determined according to the analysis result. The preset preparation package refers to a package standard for performing quality detection and evaluation on the package condition of the target injection preparation, namely, the actual package quality of the target injection preparation is determined by comparing the package standard with the preset preparation package.
First, a first package in the Q preparation packages is obtained, and the first package is taken as the preset preparation package. And then acquiring a preset evaluation scheme, and calculating a first package comprehensive index of the first package based on the preset evaluation scheme. And then, obtaining a second package after the first package according to the target reference package list, and calculating a second package comprehensive index. The next package after the first package is illustratively retrieved, e.g., according to the order in the target reference package list, and noted as the second package. And then, if the second package comprehensive index is larger than the first package comprehensive index, replacing the first package with the second package to be used as the preset preparation package. When calculating the first package comprehensive index of the first package based on the preset evaluation scheme, firstly, constructing an evaluation index set based on the actual package quality detection condition. Wherein the set of evaluation indicators includes a package safety indicator and a package cost indicator. For example, the higher the packaging safety index, the lower the packaging cost, the better the corresponding packaging scheme, and the larger the packaging quality detection index. And then, obtaining the first security level of the first package according to the package security index. A first cost level of the first package is obtained based on the package cost indicator. And finally, carrying out weighted calculation on the first security level and the first cost level to obtain the first package comprehensive index. Exemplary weighting coefficients corresponding to the first security level and the first cost level are obtained by combining objective weighting methods such as expert subjective weighting methods and variable coefficient weighting. And finally, obtaining a target package of the target injection preparation, and comparing the target package with the preset preparation package to obtain a quality detection result of the target package.
In summary, the injection packaging quality detection method provided by the invention has the following technical effects:
acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1; acquiring first injections of the P injections, and matching first historical package data of the first injections in the P groups of historical package data; acquiring a preset factor index, analyzing and obtaining a first preparation characteristic of the first injection based on the preset factor index, and constructing an injection packaging database by combining the first historical packaging data; analyzing a target injection preparation to obtain target preparation characteristics, and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result; constructing a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is less than P; sequentially analyzing the Q preparation packages, and determining preset preparation packages according to analysis results; and obtaining a target package of the target injection preparation, and comparing the target package with the preset preparation package to obtain a quality detection result of the target package. The intelligent degree of the injection packaging quality detection is improved through the computer data mining technology, and the technical effects of improving the injection packaging detection efficiency and detection accuracy are achieved.
Example two
Based on the same inventive concept as the method for detecting the quality of injection package in the foregoing embodiment, the present invention further provides a system for detecting the quality of injection package, referring to fig. 6, the system includes:
a first acquisition module 11, configured to acquire a history injection package record, where the history injection package record includes P sets of history package data of P injections, where P is an integer greater than or equal to 1;
a second acquisition module 12 for acquiring a first injection of the P injections and matching a first historical package data of the first injection among the P sets of historical package data;
the intelligent construction module 13 is used for acquiring preset factor indexes, analyzing and obtaining first preparation characteristics of the first injection based on the preset factor indexes, and constructing an injection packaging database by combining the first historical packaging data;
a first comparison module 14 for analyzing the target injection formulation to obtain a target formulation characteristic and comparing the target formulation characteristic with the first formulation characteristic to obtain a first comparison result;
an intelligent building module 15, configured to build a target reference package list according to the first comparison result, where the target reference package list includes Q kinds of formulation packages, Q is an integer greater than or equal to 1, and Q is less than P;
An analysis determination module 16 for sequentially analyzing the Q formulation packages and determining a preset formulation package according to the analysis result;
and a second comparison module 17, configured to obtain a target package of the target injection preparation, and compare the target package with the preset preparation package, so as to obtain a quality detection result of the target package.
Further, the predetermined factor indicators in the system include agent photophobia, agent thermophilicity, agent water repellency, agent oxygen repellency, agent gas repellency, agent radioactivity.
Further, the intelligent construction module 13 in the system is further configured to:
obtaining a first formula of the first injection, and extracting a first component in the first formula;
acquiring the preparation photophobia in the preset factor index, and performing characteristic analysis on the first component to obtain the photophobia characteristic of the first component;
acquiring the preparation heat intolerance in the preset factor indexes, and performing characteristic analysis on the first component to obtain the heat intolerance characteristic of the first component;
acquiring the preparation water repellency in the preset factor index, and performing characteristic analysis on the first component to obtain the water repellency characteristic of the first component;
Acquiring the preparation oxygen-intolerance in the preset factor index, and performing feature analysis on the first component to obtain the first component oxygen-intolerance feature;
acquiring the preparation gas-intolerance in the preset factor index, and carrying out characteristic analysis on the first component to obtain the first component gas-intolerance characteristic;
acquiring the radioactivity of the preparation in the preset factor indexes, and performing feature analysis on the first component to obtain a first component radioactivity feature;
the first component photophobic feature, the first component thermophilic feature, the first component water-repellent feature, the first component oxygen-repellent feature, the first component gas-repellent feature, the first component radiological feature together comprise a first component feature of the first component;
analyzing the first component characteristic to obtain the first formulation characteristic.
Further, the intelligent construction module 13 in the system is further configured to:
extracting a second component feature from the first formulation feature;
wherein the second component characteristic comprises a second component photophobic characteristic, a second component thermophilic characteristic, a second component water-repellent characteristic, a second component oxygen-repellent characteristic, a second component gas-repellent characteristic, a second component emissive characteristic;
Sequentially comparing the first component photophobic feature with the second component photophobic feature, the first component antipyretic feature with the second component photophobic feature, the first component photophobic feature with the second component photophobic feature, the first component aerobical feature with the second component aerobical feature, the first component radiometric feature with the second component radiometric feature to obtain a comparison result;
and determining the first preparation characteristic according to the comparison result.
Further, the first comparison module 14 in the system is further configured to:
obtaining a preset label scheme;
labeling the target preparation characteristics according to the preset labeling scheme to obtain a target labeling result;
labeling the first preparation characteristics according to the preset labeling scheme to obtain a first labeling result;
and comparing the target label result with the first label result to obtain the first comparison result.
Further, the intelligent building module 15 in the system is further configured to:
acquiring a first feature tag comparison result in the first comparison result;
The first characteristic label comparison result refers to a comparison result of a first label of a first characteristic of the target preparation characteristic and a second label of the first characteristic of the first preparation characteristic;
if the second label is more than or equal to the first label, the first historical package data is called;
the first historical packaging data is added to the target reference packaging list.
Further, the analysis determination module 16 in the system is further configured to:
acquiring a first package in the Q preparation packages, and taking the first package as the preset preparation package;
acquiring a preset evaluation scheme, and calculating a first package comprehensive index of the first package based on the preset evaluation scheme;
obtaining a second package after the first package according to the target reference package list, and calculating a second package comprehensive index;
and if the second package comprehensive index is larger than the first package comprehensive index, replacing the first package with the second package to be used as the preset preparation package.
Further, the analysis determination module 16 in the system is further configured to:
constructing an evaluation index set;
wherein the evaluation index set includes a package safety index and a package cost index;
Obtaining a first security level of the first package according to the package security index;
obtaining a first cost level of the first package according to the package cost index;
and carrying out weighted calculation on the first security level and the first cost level to obtain the first package comprehensive index.
The embodiments of the present invention are described in a progressive manner, and each embodiment focuses on the difference from the other embodiments, and the method and specific example for detecting the packaging quality of an injection in the first embodiment of fig. 1 are equally applicable to the system for detecting the packaging quality of an injection in the present embodiment, and by the foregoing detailed description of the method for detecting the packaging quality of an injection, those skilled in the art can clearly understand the system for detecting the packaging quality of an injection in the present embodiment, so that the description is omitted herein for brevity. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The present invention also provides a computer readable storage medium, wherein the computer readable storage medium has a computer program stored thereon, the computer program when executed implementing the steps of the method according to any one of the embodiments.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.
Claims (8)
1. The method for detecting the quality of the injection package is characterized by comprising the following steps:
acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1;
acquiring first injections of the P injections, and matching first historical package data of the first injections in the P groups of historical package data;
Acquiring a preset factor index, analyzing and obtaining a first preparation characteristic of the first injection based on the preset factor index, and constructing an injection packaging database by combining the first historical packaging data;
analyzing a target injection preparation to obtain target preparation characteristics, and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result;
constructing a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is less than P;
sequentially analyzing the Q preparation packages, and determining preset preparation packages according to analysis results;
obtaining a target package of the target injection preparation, and comparing the target package with the preset preparation package to obtain a quality detection result of the target package;
the analyzing the target injection preparation to obtain target preparation characteristics, and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result, wherein the analyzing the target injection preparation to obtain target preparation characteristics comprises the following steps:
obtaining a preset label scheme;
labeling the target preparation characteristics according to the preset labeling scheme to obtain a target labeling result;
labeling the first preparation characteristics according to the preset labeling scheme to obtain a first labeling result;
Comparing the target label result with the first label result to obtain a first comparison result;
wherein analyzing the first component characteristic to obtain the first formulation characteristic comprises:
extracting a second component feature from the first formulation feature;
wherein the second component characteristic comprises a second component photophobic characteristic, a second component thermophilic characteristic, a second component water-repellent characteristic, a second component oxygen-repellent characteristic, a second component gas-repellent characteristic, a second component emissive characteristic;
sequentially comparing the first component photophobic feature with the second component photophobic feature, the first component thermophilic feature with the second component photophobic feature, the first component photophobic feature with the second component photophobic feature, the first component aerobical feature with the second component aerobical feature, and the first component radiometric feature with the second component radiometric feature to obtain a comparison result;
and determining the first preparation characteristic according to the comparison result.
2. The method of claim 1, wherein the predetermined factor indicator comprises formulation photophobia, formulation heat resistance, formulation water resistance, formulation oxygen resistance, formulation gas resistance, formulation radioactivity.
3. The method of claim 2, wherein the analyzing the first formulation characteristic of the first injection based on the pre-set factor indicator comprises:
obtaining a first formula of the first injection, and extracting a first component in the first formula;
acquiring the preparation photophobia in the preset factor index, and performing characteristic analysis on the first component to obtain the photophobia characteristic of the first component;
acquiring the preparation heat intolerance in the preset factor indexes, and performing characteristic analysis on the first component to obtain the heat intolerance characteristic of the first component;
acquiring the preparation water repellency in the preset factor index, and performing characteristic analysis on the first component to obtain the water repellency characteristic of the first component;
acquiring the preparation oxygen-intolerance in the preset factor index, and performing feature analysis on the first component to obtain the first component oxygen-intolerance feature;
acquiring the preparation gas-intolerance in the preset factor index, and carrying out characteristic analysis on the first component to obtain the first component gas-intolerance characteristic;
acquiring the radioactivity of the preparation in the preset factor indexes, and performing feature analysis on the first component to obtain a first component radioactivity feature;
The first component photophobic feature, the first component thermophilic feature, the first component water-repellent feature, the first component oxygen-repellent feature, the first component gas-repellent feature, the first component radiological feature together comprise a first component feature of the first component;
analyzing the first component characteristic to obtain the first formulation characteristic.
4. The method of claim 1, wherein after said comparing said target label result and said first label result to obtain said first comparison result, comprising:
acquiring a first feature tag comparison result in the first comparison result;
the first characteristic label comparison result refers to a comparison result of a first label of a first characteristic of the target preparation characteristic and a second label of the first characteristic of the first preparation characteristic;
if the second label is more than or equal to the first label, the first historical package data is called;
the first historical packaging data is added to the target reference packaging list.
5. The method of claim 1, wherein sequentially analyzing the Q formulation packages and determining a preset formulation package based on the analysis results comprises:
Acquiring a first package in the Q preparation packages, and taking the first package as the preset preparation package;
acquiring a preset evaluation scheme, and calculating a first package comprehensive index of the first package based on the preset evaluation scheme;
obtaining a second package after the first package according to the target reference package list, and calculating a second package comprehensive index;
and if the second package comprehensive index is larger than the first package comprehensive index, replacing the first package with the second package to be used as the preset preparation package.
6. The method of claim 5, wherein the obtaining a preset evaluation scheme and calculating a first package composite index for the first package based on the preset evaluation scheme comprises:
constructing an evaluation index set;
wherein the evaluation index set includes a package safety index and a package cost index;
obtaining a first security level of the first package according to the package security index;
obtaining a first cost level of the first package according to the package cost index;
and carrying out weighted calculation on the first security level and the first cost level to obtain the first package comprehensive index.
7. An injection package quality inspection system, the system comprising:
the first acquisition module is used for acquiring a history injection packaging record, wherein the history injection packaging record comprises P groups of history packaging data of P injections, and P is an integer greater than or equal to 1;
the second acquisition module is used for acquiring first injections of the P injections and matching first historical package data of the first injections in the P groups of historical package data;
the intelligent construction module is used for acquiring preset factor indexes, analyzing and obtaining first preparation characteristics of the first injection based on the preset factor indexes, and constructing an injection packaging database by combining the first historical packaging data;
the first comparison module is used for analyzing the target injection preparation to obtain target preparation characteristics and comparing the target preparation characteristics with the first preparation characteristics to obtain a first comparison result;
the intelligent building module is used for building a target reference package list according to the first comparison result, wherein the target reference package list comprises Q preparation packages, Q is an integer greater than or equal to 1, and Q is smaller than P;
the analysis and determination module is used for sequentially analyzing the Q preparation packages and determining preset preparation packages according to analysis results;
The second comparison module is used for acquiring a target package of the target injection preparation and comparing the target package with the preset preparation package to obtain a quality detection result of the target package;
the first comparison module is further configured to:
obtaining a preset label scheme;
labeling the target preparation characteristics according to the preset labeling scheme to obtain a target labeling result;
labeling the first preparation characteristics according to the preset labeling scheme to obtain a first labeling result;
comparing the target label result with the first label result to obtain a first comparison result;
the intelligent construction module is further configured to:
extracting a second component feature from the first formulation feature;
wherein the second component characteristic comprises a second component photophobic characteristic, a second component thermophilic characteristic, a second component water-repellent characteristic, a second component oxygen-repellent characteristic, a second component gas-repellent characteristic, a second component emissive characteristic;
sequentially comparing the first component photophobic feature with the second component photophobic feature, the first component thermophilic feature with the second component photophobic feature, the first component photophobic feature with the second component photophobic feature, the first component aerobical feature with the second component aerobical feature, and the first component radiometric feature with the second component radiometric feature to obtain a comparison result;
And determining the first preparation characteristic according to the comparison result.
8. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed, implements the steps of the method according to any of claims 1-6.
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