CN116328004B - Cleaning and disinfecting method and system for medicine production equipment - Google Patents
Cleaning and disinfecting method and system for medicine production equipment Download PDFInfo
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- 238000004140 cleaning Methods 0.000 title claims abstract description 356
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 268
- 230000000249 desinfective effect Effects 0.000 title claims abstract description 186
- 239000003814 drug Substances 0.000 title claims abstract description 116
- 238000000034 method Methods 0.000 title claims abstract description 98
- 238000004659 sterilization and disinfection Methods 0.000 claims abstract description 82
- 230000008569 process Effects 0.000 claims abstract description 64
- 230000000694 effects Effects 0.000 claims abstract description 32
- 230000001954 sterilising effect Effects 0.000 claims description 52
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- 238000005192 partition Methods 0.000 abstract 1
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000007905 drug manufacturing Methods 0.000 description 3
- 230000003749 cleanliness Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000005202 decontamination Methods 0.000 description 2
- 230000003746 surface roughness Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000003588 decontaminative effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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Abstract
The invention discloses a cleaning and disinfecting method and a cleaning and disinfecting system for medicine production equipment, which relate to the technical field of data processing, and the method comprises the following steps: acquiring production chain application information of target medicine production equipment; extracting elements to obtain production chain node application elements; obtaining a device construct partition space set; performing production process matching to obtain a process node set of the equipment area; historical equipment cleaning and disinfecting data information is obtained through the big data, wherein the historical equipment cleaning and disinfecting data comprises equipment production application data, equipment cleaning and disinfecting data and equipment cleaning effect data; constructing a device cleaning and disinfecting space model; matching the process node sets of the input equipment area, and outputting a cleaning and disinfecting scheme of the equipment area; and performing directional cleaning and disinfection treatment on target medicine production equipment. The invention solves the technical problems that the cleaning and disinfecting intelligent degree of the medicine production equipment is low and the differential cleaning cannot be performed directionally in the prior art, and achieves the technical effect of improving the cleaning quality of the production equipment.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a cleaning and disinfecting method and system for medicine production equipment.
Background
The pharmaceutical industry is an industry related to civil information, and along with the rapid development of economy, the technology of the pharmaceutical industry also carries out updating iteration. In the manufacturing process, some auxiliary materials remain in the production equipment after the production of the medicines is finished, and if the equipment is not cleaned, the quality problem of the medicines can be caused after the equipment is used for producing other medicines or a period of time.
At present, a quality inspection management department of a pharmaceutical manufacturer mainly establishes a device cleaning system and a cleaning effect supervision system for cleaning production devices, and the systems are issued to staff to clean the devices according to steps and standards specified in the systems. However, the quantity and the types of residues produced by different medicines are different, and the corresponding cleaning methods are different, so that the cleaning rules are only manually formulated, and the cleaning disinfection cannot be arranged in a refined and differentiated mode, so that the cleaning effect of production equipment cannot reach the expectations, and the cleaning period is too long. The intelligent degree of the cleaning and disinfecting of the medicine production equipment in the prior art is low, and the technical problem that the medicine production equipment cannot be subjected to differential cleaning in an oriented manner is solved.
Disclosure of Invention
The application provides a cleaning and disinfecting method and system for medicine production equipment, which are used for solving the technical problems that the intelligent degree of cleaning and disinfecting the medicine production equipment in the prior art is low and differential cleaning cannot be performed directionally.
In view of the above problems, the present application provides a method and a system for cleaning and sterilizing pharmaceutical production equipment.
In a first aspect of the present application, there is provided a method of cleaning and disinfecting pharmaceutical production equipment, the method comprising:
acquiring production chain application information of target medicine production equipment;
extracting elements from the production chain application information to obtain production chain node application elements;
carrying out structural regional division based on the target medicine production equipment to obtain an equipment construction division space set;
carrying out production process matching on the production chain node application elements and the equipment construction division space set to obtain an equipment area process node set, wherein the equipment construction division space set corresponds to the equipment area process node set one by one;
obtaining historical equipment cleaning and disinfecting data information through big data, wherein the historical equipment cleaning and disinfecting data information comprises equipment production application data, equipment cleaning and disinfecting data and equipment cleaning effect data;
constructing an equipment cleaning and disinfecting space model according to the equipment production application data, the equipment cleaning and disinfecting data and the equipment cleaning effect data;
inputting the equipment area process node set into the equipment cleaning and disinfecting space model for matching, and outputting an equipment area cleaning and disinfecting scheme;
And carrying out directional cleaning and disinfection treatment on the target medicine production equipment based on the equipment area cleaning and disinfection scheme.
In a second aspect of the present application, there is provided a cleaning and disinfecting system for pharmaceutical production equipment, the system comprising:
the application information acquisition module is used for acquiring production chain application information of the target medicine production equipment;
the application element obtaining module is used for extracting elements of the production chain application information to obtain production chain node application elements;
the division space set obtaining module is used for carrying out structural regional division on the basis of the target medicine production equipment to obtain an equipment construction division space set;
the process node obtaining module is used for carrying out production process matching on the production chain node application elements and the equipment construction division space set to obtain an equipment area process node set, and the equipment construction division space set corresponds to the equipment area process node set one by one;
the historical data acquisition module is used for acquiring historical equipment cleaning and disinfection data information through big data, wherein the historical equipment cleaning and disinfection data information comprises equipment production application data, equipment cleaning and disinfection data and equipment cleaning effect data;
The space model construction module is used for constructing a device cleaning and disinfecting space model according to the device production application data, the device cleaning and disinfecting data and the device cleaning and disinfecting effect data;
the disinfection scheme output module is used for inputting the equipment area process node set into the equipment cleaning and disinfection space model for matching, and outputting an equipment area cleaning and disinfection scheme;
and the cleaning and disinfecting treatment module is used for carrying out directional cleaning and disinfecting treatment on the target medicine production equipment based on the equipment area cleaning and disinfecting scheme.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the method comprises the steps of obtaining production chain application information of target medicine production equipment, extracting elements of the production chain application information to obtain production chain node application elements, carrying out structural regional division on the basis of the target medicine production equipment to obtain equipment structure division space sets, carrying out production process matching on the production chain node application elements and the equipment structure division space sets to obtain equipment region process node sets, wherein the equipment structure division space sets are in one-to-one correspondence with the equipment region process node sets, obtaining historical equipment cleaning and sterilizing data information through big data, the historical equipment cleaning and sterilizing data information comprises equipment production application data, equipment cleaning and sterilizing data and equipment cleaning and sterilizing effect data, constructing an equipment cleaning and sterilizing space model according to the equipment production application data, the equipment cleaning and sterilizing data and the equipment cleaning and sterilizing effect data, inputting the equipment region process node sets into the equipment cleaning and sterilizing space model to carry out matching, outputting an equipment region cleaning and sterilizing scheme, and carrying out directional cleaning and sterilizing treatment on the target medicine production equipment based on the equipment region cleaning and sterilizing scheme. The technical effects of improving the disinfection treatment quality and carrying out differential directional disinfection treatment on the medicine production equipment are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for cleaning and sterilizing a drug production device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a space model for cleaning and sterilizing a device constructed in a cleaning and sterilizing method for a drug production device according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a cleaning and disinfecting scheme for an output device area in a cleaning and disinfecting method for a drug production device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a cleaning and disinfecting system of a drug production device according to an embodiment of the present application.
Reference numerals illustrate: the system comprises an application information acquisition module 11, an application element acquisition module 12, a space set division acquisition module 13, a process node acquisition module 14, a historical data acquisition module 15, a space model construction module 16, a disinfection scheme output module 17 and a cleaning and disinfection processing module 18.
Detailed Description
The application provides a cleaning and disinfecting method for medicine production equipment, which is used for solving the technical problems that the intelligent degree of cleaning and disinfecting the medicine production equipment in the prior art is low and differential cleaning cannot be performed directionally.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a method for cleaning and sterilizing pharmaceutical production equipment, wherein the method comprises:
Step S100: acquiring production chain application information of target medicine production equipment;
specifically, the target medicine production equipment is any equipment which needs to be cleaned and disinfected. And extracting the links of the drug production chain produced in the workshop by acquiring the workshop information of the target drug production equipment, thereby acquiring the application information of the production chain. Preferably, in the actual drug production process, the setting of the production chain is determined according to the type and the number of the produced drugs, and the production chain application information is determined by determining the production equipment required in the target drug production process and then according to the corresponding technological process of the production equipment.
Specifically, the production chain application information is information describing a production chain and actual use conditions of the target medicine production equipment in the using process, and comprises the production and use sequence of the target medicine production equipment and the like. The production chain information of the target medicine production equipment is acquired, so that the area is divided according to the distribution condition and the use sequence of the equipment, and data support is provided for the follow-up differentiated and accurate cleaning and disinfection of different areas.
Step S200: extracting elements from the production chain application information to obtain production chain node application elements;
specifically, after the production chain application information is obtained, key elements in the production chain application information are extracted by a keyword extraction method, data contained in the information are extracted, and the value in the information is deeply mined. The production chain link point application elements are information describing key points of the target medicine in the production process, and comprise elements such as production medicine types, production chain nodes, production time length corresponding to each production chain node and the like, so that the production and use processes corresponding to the target medicine production equipment can be fully excavated.
Step S300: carrying out structural regional division based on the target medicine production equipment to obtain an equipment construction division space set;
specifically, according to the conditions of a production workshop of the manufacturer of the target medicine, namely according to the area and planning of the workshop, and combining the corresponding size of the production equipment of the target medicine, carrying out structural region division, thereby obtaining an equipment structure division space set after equipment division. In the process of dividing the structural area, the structural area is divided according to the overall structural size of the main equipment and the matched equipment, so that the processing equipment corresponding to the same process can be ensured to be in one area. The device construction division space set is a set obtained by carrying out space division on the device according to the structure size. Preferably, in the process of dividing the equipment structure, the geometric structure and the internal structure of the equipment are considered, the equipment with similar appearance geometric structure is divided into the same area, and the size of parameter setting can be kept in the same interval in the process of setting the cleaning and sterilizing parameters. By considering the internal structure of the equipment and dividing the equipment with similar internal structure into the same area, the parameters set during cleaning and disinfection can be ensured to be within a range.
Step S400: carrying out production process matching on the production chain node application elements and the equipment construction division space set to obtain an equipment area process node set, wherein the equipment construction division space set corresponds to the equipment area process node set one by one;
specifically, according to the corresponding relation between the production chain node application elements and the target medicine production equipment and the corresponding relation between the equipment structure division space set and the target medicine production equipment, the production process matching is carried out on each structural space area in the production chain node application elements and the equipment structure division space set, namely, the production process corresponding to each equipment structure division space is determined, and the equipment structure division space set and the equipment area process node set are in one-to-one correspondence. The equipment region process node set is obtained after equipment and processes in the production process of the target medicine are matched, so that the equipment condition corresponding to each node in the production process is cleaned and described.
Step S500: obtaining historical equipment cleaning and disinfecting data information through big data, wherein the historical equipment cleaning and disinfecting data information comprises equipment production application data, equipment cleaning and disinfecting data and equipment cleaning effect data;
Specifically, the historical equipment cleaning and disinfecting data information is obtained by recording data generated in the cleaning and disinfecting process of the target medicine production equipment, and comprises equipment production application data, equipment cleaning and disinfecting data and equipment cleaning effect data. Preferably, the model of the target medicine production equipment is used as an index, and cleaning data corresponding to the production equipment with the same model are searched in the big data, so that reference data is provided for cleaning and sterilizing of the intelligent analysis equipment. The device production application data are data describing actual application parameters and application time of the device in the drug production process. The equipment cleaning and disinfecting data are obtained by recording data generated in the cleaning and disinfecting operation process of the equipment, and comprise cleaning type, cleaning time, disinfecting type, disinfecting articles, disinfecting duration and the like. The equipment cleaning effect data is obtained after the effect evaluation of the cleaned and disinfected equipment, and comprises cleanliness evaluation data, cleaning efficiency evaluation data and the like. And acquiring a plurality of sample data by acquiring the historical equipment cleaning and disinfecting data information, so as to provide data support for analyzing the actual cleaning and disinfecting conditions of the target medicine production equipment.
Step S600: constructing an equipment cleaning and disinfecting space model according to the equipment production application data, the equipment cleaning and disinfecting data and the equipment cleaning effect data;
further, as shown in fig. 2, step S600 of the embodiment of the present application further includes:
step S610: performing analysis effect verification on the equipment cleaning and disinfecting space model to obtain model analysis accuracy;
step S620: taking the difference value between the model analysis accuracy and the preset analysis accuracy as model analysis optimization degree;
step S630: initializing particle swarm parameters based on a PSO algorithm, and iteratively calculating a particle swarm fitness function according to the model analysis optimization degree and the particle swarm parameters;
step S640: when a preset termination condition is reached, obtaining output optimal result particles of the particle swarm fitness function, and mapping the output optimal result particles to the equipment cleaning and disinfection space model for optimization updating training.
Specifically, the equipment cleaning and disinfecting space model is a functional model which intelligently analyzes and outputs the optimal operation in the cleaning and disinfecting process of equipment. And determining equipment cleaning and disinfecting data which accords with the application data based on the equipment production application data, and feeding back the disinfecting effect according to the equipment cleaning effect data so as to construct the equipment cleaning and disinfecting space model. And taking the equipment production application data as a search index, searching the data from the big data to obtain data when the production equipment of the same type of production process is cleaned and disinfected, and forming verification analysis data. The verification analysis data comprises a sample equipment area process node set, a sample area space cleaning and disinfection formula set, a sample area space cleaning and disinfection grade set and a sample area space cleaning and disinfection frequency set. The sample equipment regional process node set is input into the equipment cleaning and sterilizing space model, and the verification regional space cleaning and sterilizing formula set, the verification regional space cleaning and sterilizing grade set and the verification regional space cleaning and sterilizing frequency set are obtained through intelligent operation of the model. The sample area space cleaning and disinfecting formula set, the sample area space cleaning and disinfecting grade set and the sample area space cleaning and disinfecting frequency set are respectively matched with the verification area space cleaning and disinfecting formula set, the verification area space cleaning and disinfecting grade set and the verification area space cleaning and disinfecting frequency set, the successfully matched proportion is used as the accuracy of different directions, and the obtained three accuracies are subjected to mean value processing, so that the model analysis accuracy is obtained.
Specifically, the preset analysis accuracy is an accuracy value which is set in advance and can be put into use according with application requirements by a model, and is set by a worker at will, and the method is not limited. And carrying out difference calculation on the model analysis accuracy and the preset analysis accuracy, and taking the result obtained by calculation as the model analysis optimization degree. The model analysis optimization degree is a target which needs to be optimized and updated in the process of optimizing the model.
Specifically, a particle swarm optimization algorithm is utilized to initialize particle swarm parameters, then the model analysis optimization degree is used as an analysis optimization target, and the running parameters set by the model are used as particle swarm parameters needing to be optimized, so that the adaptability of different particle swarms to the model is calculated, and the particle swarm fitness function is obtained.
Specifically, the preset termination condition is a preset condition that needs to be met by stopping operation and optimization, and may be that the number of iterative computations reaches the preset number of iterative computations, or that a numerical value corresponding to the particle swarm fitness function meets the requirement. And mapping the output result, namely the optimal result particles, to the equipment cleaning and disinfecting space model, so that the model is optimized and updated, and the accuracy of the model can meet the requirements.
Step S700: inputting the equipment area process node set into the equipment cleaning and disinfecting space model for matching, and outputting an equipment area cleaning and disinfecting scheme;
further, as shown in fig. 3, the output device region cleaning and disinfecting scheme, step S700 of the embodiment of the present application further includes:
step S710: generating equipment cleaning and disinfecting elements according to the historical equipment cleaning and disinfecting data information;
step S720: based on the equipment cleaning and disinfecting elements, building the equipment cleaning and disinfecting space model, wherein the equipment cleaning and disinfecting space model comprises a cleaning and disinfecting formula space model, a cleaning and disinfecting grade space model and a cleaning and disinfecting frequency space model;
step S730: inputting the equipment regional process node set into the equipment cleaning and sterilizing space model to respectively obtain a regional space cleaning and sterilizing formula set, a regional space cleaning and sterilizing grade set and a regional space cleaning and sterilizing frequency set;
step S740: outputting the equipment region cleaning and disinfecting scheme according to the region space cleaning and disinfecting formula set, the region space cleaning and disinfecting grade set and the region space cleaning and disinfecting frequency set.
Specifically, elements in the cleaning process of the medicine production equipment are extracted from the historical equipment cleaning and disinfecting data information, and equipment cleaning and disinfecting elements are generated according to the extracted results, wherein the equipment cleaning and disinfecting elements comprise a cleaning and disinfecting formula, a cleaning and disinfecting grade and a cleaning and disinfecting frequency. And obtaining corresponding historical data including historical cleaning and disinfecting formula data, historical cleaning and disinfecting grade data and historical cleaning and disinfecting frequency data by carrying out data extraction on the historical device cleaning and disinfecting data according to the device cleaning and disinfecting elements. And constructing a cleaning and disinfecting formula space model by using the equipment production application data and the historical cleaning and disinfecting formula data in the historical equipment cleaning and disinfecting data information. And constructing a cleaning and disinfecting grade space model by using the equipment production application data and the historical cleaning and disinfecting grade data in the historical equipment cleaning and disinfecting data information. And constructing a cleaning and disinfecting frequency space model by using the equipment production application data and the historical cleaning and disinfecting grade data in the historical equipment cleaning and disinfecting data information. The cleaning and disinfecting formula space model, the cleaning and disinfecting grade space model and the cleaning and disinfecting frequency space model are all functional models constructed by taking BP neural network as a basic frame.
Specifically, first training data is constructed according to the equipment production application data and the historical cleaning and disinfection grade data, and model training is carried out on the cleaning and disinfection formula space model by using the first training data until the training is converged, so that the trained cleaning and disinfection formula space model is obtained. And constructing second training data according to the equipment production application data and the historical cleaning and sterilizing grade data, and performing model training on the cleaning and sterilizing grade data model by utilizing the second training data until the training is converged, so as to obtain the cleaning and sterilizing grade space model after the training is completed. And constructing third training data according to the equipment production application data and the historical cleaning and sterilizing frequency data, and performing model training on the cleaning and sterilizing frequency space model by using the third training data until the training is converged, so as to obtain the cleaning and sterilizing frequency space model after the training is completed. Further, the apparatus cleaning and disinfecting space model is constructed by arranging the cleaning and disinfecting recipe space model, the cleaning and disinfecting grade space model, and the cleaning and disinfecting frequency space model in parallel.
Specifically, the equipment area process node set is input into the equipment cleaning and disinfecting space model, intelligent operation is performed by taking the equipment area process node set as input data, and the input data are analyzed by the cleaning and disinfecting formula space model, the cleaning and disinfecting grade space model and the cleaning and disinfecting frequency space model in the equipment cleaning and disinfecting space model to respectively obtain an area space cleaning and disinfecting formula set, an area space cleaning and disinfecting grade set and an area space cleaning and disinfecting frequency set. And summarizing the regional space cleaning and sterilizing formula set, the regional space cleaning and sterilizing grade set and the regional space cleaning and sterilizing frequency set to obtain the cleaning and sterilizing schemes of different regions of the target medicine production equipment, namely the equipment regional cleaning and sterilizing scheme.
Specifically, the process node set of the equipment area is obtained, the production process conditions of equipment in different areas in a production workshop are determined, and then the scheme for cleaning and disinfecting the different areas is determined based on the process conditions, so that the equipment area cleaning and disinfecting scheme is obtained.
Further, step S700 of the embodiment of the present application further includes:
step S750: analyzing the abrasion degree of the target medicine production equipment to obtain the abrasion degree of the medicine production equipment;
step S760: obtaining an equipment residual gain coefficient according to the abrasion degree of the medicine production equipment;
step S770: performing cleaning intensity addition analysis based on the equipment residual gain coefficient to determine cleaning disinfection addition parameters;
step S780: and correcting the equipment area cleaning and disinfecting scheme based on the cleaning and disinfecting addition parameter to obtain an equipment area cleaning and disinfecting optimized scheme.
Specifically, when the target medicine production equipment is worn, residues in the production process generate residue increase with different degrees due to different wear degrees, and the equipment residue gain coefficient is determined according to the wear degrees of the medicine production equipment. Preferably, the device residual gain factor is a quantitative representation of the increase in residue of the device due to wear, based on an empirical value set by a worker for the wear level of the pharmaceutical production device. And determining the degree of reinforcing the cleaning strength of the equipment according to the residual gain coefficient of the equipment and combining different types of target medicine production equipment, so as to obtain the cleaning and disinfection addition parameter. The cleaning and disinfecting addition parameter is a parameter quantitatively representing the degree of cleaning to be enhanced in the cleaning process. And correcting the equipment area cleaning and disinfecting scheme by taking the cleaning and disinfecting addition parameter as a correction coefficient, so as to obtain the equipment area cleaning and disinfecting optimized scheme. The technical effect of optimizing the cleaning and disinfecting scheme from the abrasion angle of production equipment is achieved.
Further, the step S750 of the embodiment of the present application further includes:
step S751: counting the use times of the target medicine production equipment to obtain the use frequency of the production equipment;
step S752: predicting the equipment wear rate based on the use frequency of the production equipment to obtain the predicted wear rate of the production equipment;
step S753: acquiring the estimated service life of the target medicine production equipment;
step S754: constructing a device abrasion degree calculation function: drug production equipment wear= (1-production equipment predicted wear rate)/predicted age;
step S755: and calculating the estimated wear rate and the estimated service life of the production equipment based on the equipment wear degree calculation function to obtain the wear degree of the medicine production equipment.
Specifically, the usage frequency of the production equipment is data obtained by counting the number of times the target medicine production equipment is used, and the higher the usage frequency is, the higher the degree of abrasion of the corresponding equipment is. And determining the corresponding relation between the use frequency of the production equipment and the equipment wear rate by acquiring historical equipment use data of a manufacturer, and predicting the wear condition of the production equipment according to the corresponding relation to obtain the predicted wear rate of the production equipment. The estimated service life is the service life determined according to the corresponding factory data of the target medicine production equipment.
Specifically, the abrasion condition of the production equipment is quantitatively calculated by utilizing the equipment abrasion degree calculation function. And inputting the estimated wear rate of the production equipment and the estimated service life into the equipment wear degree calculation function for quantitative calculation, thereby obtaining the wear degree of the medicine production equipment. Data is provided for analysis of the effect of wear on the residue of pharmaceutical production equipment.
Optionally, the surface roughness, the surface finish and the surface integrity of the target medicine production equipment are respectively measured, and the corresponding abrasion degree of the target medicine production equipment is analyzed according to the measured result. Preferably, the weight ratio is determined according to the influence condition of the preset surface roughness, surface finish and surface integrity on the equipment wear degree, and the measurement result is weighted according to the weight ratio, so that the calculation result is determined as the medicine production equipment wear degree.
Further, step S780 of the embodiment of the present application further includes:
step S781: obtaining internal structure material information of the equipment construction division space set;
step S782: according to the internal structure material information, determining the surface friction coefficient of the equipment material corresponding to each equipment structure division space;
Step S783: performing cleaning and disinfection influence analysis based on the surface friction coefficient of the equipment material to obtain equipment cleaning and disinfection influence parameters;
step S784: and adjusting the equipment area cleaning and disinfecting optimization scheme based on the equipment cleaning and disinfecting influence parameters.
Specifically, the internal structure material information is a material condition used inside each production apparatus within the apparatus structure divided space set, including a material type, a material friction degree, and the like. And determining the surface friction coefficient of the equipment material corresponding to each equipment structure division space according to the internal structure material information, wherein the surface friction coefficient of the equipment material reflects the friction force generated by different surfaces on an object flowing through. The greater the surface friction, the greater the resistance to cleaning of the surface deposit inside the device. Therefore, by analyzing the resistance condition of the cleaning and disinfecting process by using the surface friction coefficient of the equipment material, the magnitude of the equipment cleaning and disinfecting influence parameter is determined according to the magnitude of the surface friction coefficient of the equipment material.
Specifically, the cleaning and disinfecting parameters of the equipment area are adjusted according to the size of the cleaning and disinfecting parameters of the equipment area, and the adjusting amplitude is based on the size of the cleaning and disinfecting parameters of the equipment area.
Step S800: and carrying out directional cleaning and disinfection treatment on the target medicine production equipment based on the equipment area cleaning and disinfection scheme.
Further, after the directional cleaning and disinfecting treatment is performed on the target pharmaceutical production device, step S800 of the embodiment of the present application further includes:
step S810: detecting the purifying result of the target medicine production equipment to obtain equipment purifying detection record data;
step S820: performing cleaning and disinfecting effect evaluation based on the equipment cleaning and detecting record data to obtain equipment cleaning and disinfecting effects;
step S830: obtaining a purification grade standard of the target drug production equipment;
step S840: if the cleaning and disinfecting effect of the equipment does not reach the purifying grade standard, taking the difference value between the cleaning and disinfecting effect of the equipment and the purifying grade standard as an equipment re-purifying factor;
step S850: and performing re-disinfection and purification on the target medicine production equipment based on the equipment re-purification factor.
Specifically, according to the differential cleaning scheme of the equipment area cleaning and disinfecting scheme for the target medicine production equipment, the target medicine production equipment is subjected to directional cleaning and disinfecting treatment, and cleaning and disinfecting are performed according to the cleaning parameters in the scheme. The equipment purifying detection record data comprise an active residue detection result, an equipment cleanliness detection result and the like. And evaluating the purification condition of the target drug production equipment according to the equipment purification detection record data to obtain the equipment cleaning and disinfection effects. Wherein, the cleaning and disinfecting effect of the equipment reflects the cleaning degree of the equipment after cleaning and disinfecting. The purification grade standard is a grade which is required to be reached by the equipment cleaning and disinfection according to the production medicine requirement of target medicine production equipment and the production control standard of manufacturers. And when the cleaning and disinfecting effect of the equipment does not reach the cleaning grade standard, indicating that the cleaning and disinfecting effect cannot meet the requirement, and taking the difference value between the cleaning and disinfecting effect of the equipment and the cleaning grade standard as a device re-cleaning factor. The device re-decontamination factor is a determination of the target of the device at the time of the secondary decontamination. And (3) performing re-disinfection and purification on the target medicine production equipment by taking the equipment re-purification factor as a purification target until the equipment cleaning and disinfection effects reach the purification grade standard.
In summary, the embodiment of the application has at least the following technical effects:
according to the application, the process division condition of the target medicine production equipment in the production process is determined according to the production chain application condition of the production equipment, meanwhile, the regional division is carried out according to the structural similarity of the production equipment to obtain the equipment structure division space set, the equipment and the process are matched through matching the production chain node application elements with the equipment structure division space set, the goal of laying a cushion for regional differential cleaning and disinfection is realized, an intelligent equipment cleaning and disinfection space model is constructed through utilizing historical equipment cleaning and disinfection data information, the intelligent output of a cleaning and disinfection scheme is realized, and furthermore, the differential directional cleaning and disinfection scheme is obtained through inputting the equipment regional process node set into the model, so that the target medicine production equipment is subjected to directional cleaning and disinfection treatment according to the scheme. The technical effects of differentiating, directionally cleaning and disinfecting the medicine production equipment and improving the disinfection efficiency and the disinfection quality are achieved.
Example two
Based on the same inventive concept as the cleaning and sterilizing method of a pharmaceutical production apparatus in the foregoing embodiments, as shown in fig. 4, the present application provides a cleaning and sterilizing system of a pharmaceutical production apparatus, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
An application information acquisition module 11, wherein the application information acquisition module 11 is used for acquiring production chain application information of target medicine production equipment;
an application element obtaining module 12, where the application element obtaining module 12 is configured to extract elements of the production chain application information to obtain production chain node application elements;
a divided space set obtaining module 13, where the divided space set obtaining module 13 is configured to perform structural regional division based on the target pharmaceutical production equipment to obtain an equipment construction divided space set;
a process node obtaining module 14, where the process node obtaining module 14 is configured to perform production process matching on the production chain node application element and the equipment construction division space set, and obtain an equipment area process node set, where the equipment construction division space set corresponds to the equipment area process node set one to one;
a historical data obtaining module 15, wherein the historical data obtaining module 15 is used for obtaining historical equipment cleaning and disinfection data information through big data, and the historical equipment cleaning and disinfection data information comprises equipment production application data, equipment cleaning and disinfection data and equipment cleaning effect data;
a space model construction module 16, wherein the space model construction module 16 is configured to construct a device cleaning and disinfection space model according to the device production application data, the device cleaning and disinfection data and the device cleaning and disinfection effect data;
The disinfection scheme output module 17 is used for inputting the equipment area process node set into the equipment cleaning and disinfection space model for matching, and outputting an equipment area cleaning and disinfection scheme;
a cleaning and sanitizing treatment module 18, the cleaning and sanitizing treatment module 18 configured to perform a directed cleaning and sanitizing treatment on the target pharmaceutical production facility based on the facility area cleaning and sanitizing regimen.
Further, the system further comprises:
a disinfection element generation unit for generating equipment cleaning disinfection elements according to the historical equipment cleaning disinfection data information;
the disinfection space model building unit is used for building the equipment cleaning and disinfection space model based on the equipment cleaning and disinfection elements, and the equipment cleaning and disinfection space model comprises a cleaning and disinfection formula space model, a cleaning and disinfection grade space model and a cleaning and disinfection frequency space model;
the formula set obtaining unit is used for inputting the equipment regional process node set into the equipment cleaning and sterilizing space model to respectively obtain a regional space cleaning and sterilizing formula set, a regional space cleaning and sterilizing grade set and a regional space cleaning and sterilizing frequency set;
And the cleaning and sterilizing scheme output unit is used for outputting the equipment area cleaning and sterilizing scheme according to the area space cleaning and sterilizing formula set, the area space cleaning and sterilizing grade set and the area space cleaning and sterilizing frequency set.
Further, the system further comprises:
the analysis accuracy obtaining unit is used for verifying the analysis effect of the equipment cleaning and disinfecting space model to obtain model analysis accuracy;
the analysis optimization setting unit is used for taking the difference value between the model analysis accuracy and the preset analysis accuracy as the model analysis optimization;
the fitness function calculation unit is used for initializing particle swarm parameters based on a PSO algorithm and iteratively calculating particle swarm fitness functions according to the model analysis optimization degree and the particle swarm parameters;
and the optimization updating unit is used for obtaining the output optimal result particles of the particle swarm fitness function when a preset termination condition is reached, and mapping the output optimal result particles to the equipment cleaning and disinfection space model for optimization updating training.
Further, the system further comprises:
the equipment abrasion degree obtaining unit is used for analyzing the abrasion degree of the target medicine production equipment to obtain the abrasion degree of the medicine production equipment;
the gain coefficient obtaining unit is used for obtaining an equipment residual gain coefficient according to the abrasion degree of the medicine production equipment;
an addition parameter determination unit for performing a cleaning intensity addition analysis based on the apparatus residual gain coefficient, determining a cleaning disinfection addition parameter;
and the scheme correction unit is used for correcting the equipment area cleaning and disinfecting scheme based on the cleaning and disinfecting addition parameter to obtain an equipment area cleaning and disinfecting optimized scheme.
Further, the system further comprises:
the using frequency obtaining unit is used for counting the using frequency of the target medicine production equipment to obtain the using frequency of the production equipment;
a predicted wear rate obtaining unit configured to predict a wear rate of the production equipment based on the usage frequency of the production equipment, to obtain a predicted wear rate of the production equipment;
A usage period obtaining unit for obtaining an estimated usage period of the target drug production apparatus;
a wear-degree calculation function construction unit for constructing an apparatus wear-degree calculation function: drug production equipment wear= (1-production equipment predicted wear rate)/predicted age;
and the production equipment abrasion degree obtaining unit is used for calculating the expected abrasion rate of the production equipment and the expected service life based on the equipment abrasion degree calculating function to obtain the abrasion degree of the medicine production equipment.
Further, the system further comprises:
an internal material information obtaining unit configured to obtain internal structure material information of the equipment construction divided space set;
the friction coefficient determining unit is used for determining the surface friction coefficient of the equipment material corresponding to each equipment structure division space according to the internal structure material information;
the influence parameter obtaining unit is used for carrying out cleaning and disinfection influence analysis based on the surface friction coefficient of the equipment material to obtain equipment cleaning and disinfection influence parameters;
And the scheme adjusting unit is used for adjusting the equipment area cleaning and disinfecting optimization scheme based on the equipment cleaning and disinfecting influence parameters.
Further, the system further comprises:
the detection record data acquisition unit is used for detecting the purification result of the target drug production equipment to acquire equipment purification detection record data;
the equipment disinfection effect obtaining unit is used for carrying out cleaning disinfection effect evaluation based on the equipment purification detection record data to obtain equipment cleaning disinfection effect;
a purification grade standard obtaining unit for obtaining a purification grade standard of the target pharmaceutical production apparatus;
a re-purification factor setting unit for taking a difference between the cleaning and disinfecting effect of the apparatus and the cleaning grade standard as an apparatus re-purification factor if the cleaning and disinfecting effect of the apparatus does not reach the cleaning grade standard;
and a re-sterilization and purification unit for re-sterilizing and purifying the target drug production equipment based on the equipment re-purification factor.
It should be noted that the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. A method of cleaning and sanitizing pharmaceutical production equipment, the method comprising:
acquiring production chain application information of target medicine production equipment;
extracting elements from the production chain application information to obtain production chain node application elements;
the production chain application information is information for describing a production chain and actual use conditions of the target medicine production equipment in the use process and comprises the production and use sequence of the target medicine production equipment;
the production chain link point application elements are information for describing key points of the target medicine in the production process, and comprise production medicine types, production chain nodes and production time length elements corresponding to each production chain node;
carrying out structural regional division on the basis of the target medicine production equipment to obtain an equipment construction division space set, wherein the equipment construction division space set is a set obtained by carrying out space division on equipment according to the structural size;
carrying out production process matching on the production chain node application elements and the equipment construction division space set to obtain an equipment area process node set, wherein the equipment construction division space set corresponds to the equipment area process node set one by one;
Obtaining historical equipment cleaning and disinfecting data information through big data, wherein the historical equipment cleaning and disinfecting data information comprises equipment production application data, equipment cleaning and disinfecting data and equipment cleaning effect data;
constructing an equipment cleaning and disinfecting space model according to the equipment production application data, the equipment cleaning and disinfecting data and the equipment cleaning effect data;
inputting the equipment area process node set into the equipment cleaning and disinfecting space model for matching, and outputting an equipment area cleaning and disinfecting scheme;
and carrying out directional cleaning and disinfection treatment on the target medicine production equipment based on the equipment area cleaning and disinfection scheme.
2. The method of claim 1, wherein the output device area cleaning and sanitizing scheme comprises:
generating equipment cleaning and disinfecting elements according to the historical equipment cleaning and disinfecting data information;
based on the equipment cleaning and disinfecting elements, building the equipment cleaning and disinfecting space model, wherein the equipment cleaning and disinfecting space model comprises a cleaning and disinfecting formula space model, a cleaning and disinfecting grade space model and a cleaning and disinfecting frequency space model;
inputting the equipment regional process node set into the equipment cleaning and sterilizing space model to respectively obtain a regional space cleaning and sterilizing formula set, a regional space cleaning and sterilizing grade set and a regional space cleaning and sterilizing frequency set;
Outputting the equipment region cleaning and disinfecting scheme according to the region space cleaning and disinfecting formula set, the region space cleaning and disinfecting grade set and the region space cleaning and disinfecting frequency set.
3. The method according to claim 2, wherein the method comprises:
performing analysis effect verification on the equipment cleaning and disinfecting space model to obtain model analysis accuracy;
taking the difference value between the model analysis accuracy and the preset analysis accuracy as model analysis optimization degree;
initializing particle swarm parameters based on a PSO algorithm, and iteratively calculating a particle swarm fitness function according to the model analysis optimization degree and the particle swarm parameters;
when a preset termination condition is reached, obtaining output optimal result particles of the particle swarm fitness function, and mapping the output optimal result particles to the equipment cleaning and disinfection space model for optimization updating training.
4. The method of claim 1, wherein the method comprises:
analyzing the abrasion degree of the target medicine production equipment to obtain the abrasion degree of the medicine production equipment;
obtaining an equipment residual gain coefficient according to the abrasion degree of the medicine production equipment;
Performing cleaning intensity addition analysis based on the equipment residual gain coefficient to determine cleaning disinfection addition parameters;
and correcting the equipment area cleaning and disinfecting scheme based on the cleaning and disinfecting addition parameter to obtain an equipment area cleaning and disinfecting optimized scheme.
5. The method of claim 4, wherein said obtaining a degree of wear of a pharmaceutical production facility comprises:
counting the use times of the target medicine production equipment to obtain the use frequency of the production equipment;
predicting the equipment wear rate based on the use frequency of the production equipment to obtain the predicted wear rate of the production equipment;
acquiring the estimated service life of the target medicine production equipment;
constructing a device abrasion degree calculation function: drug production equipment wear= (1-production equipment predicted wear rate)/predicted age;
and calculating the estimated wear rate and the estimated service life of the production equipment based on the equipment wear degree calculation function to obtain the wear degree of the medicine production equipment.
6. The method of claim 1, wherein the method comprises:
obtaining internal structure material information of the equipment construction division space set;
According to the internal structure material information, determining the surface friction coefficient of the equipment material corresponding to each equipment structure division space;
performing cleaning and disinfection influence analysis based on the surface friction coefficient of the equipment material to obtain equipment cleaning and disinfection influence parameters;
and adjusting the equipment area cleaning and disinfecting optimization scheme based on the equipment cleaning and disinfecting influence parameters.
7. The method of claim 1, wherein said performing a directed cleaning and sanitizing process on said target pharmaceutical production facility comprises:
detecting the purifying result of the target medicine production equipment to obtain equipment purifying detection record data;
performing cleaning and disinfecting effect evaluation based on the equipment cleaning and detecting record data to obtain equipment cleaning and disinfecting effects;
obtaining a purification grade standard of the target drug production equipment;
if the cleaning and disinfecting effect of the equipment does not reach the purifying grade standard, taking the difference value between the cleaning and disinfecting effect of the equipment and the purifying grade standard as an equipment re-purifying factor;
and performing re-disinfection and purification on the target medicine production equipment based on the equipment re-purification factor.
8. A cleaning and sanitizing system for a pharmaceutical production facility, the system comprising:
The application information acquisition module is used for acquiring production chain application information of the target medicine production equipment;
the production chain application information is information for describing a production chain and actual use conditions of the target medicine production equipment in the use process and comprises the production and use sequence of the target medicine production equipment;
the application element obtaining module is used for extracting elements of the production chain application information to obtain production chain node application elements;
the production chain link point application elements are information for describing key points of the target medicine in the production process, and comprise production medicine types, production chain nodes and production time length elements corresponding to each production chain node;
the division space set obtaining module is used for carrying out structural regional division on the basis of the target medicine production equipment to obtain an equipment construction division space set;
the equipment construction division space set is a set obtained by carrying out space division on equipment according to the structure size;
the process node obtaining module is used for carrying out production process matching on the production chain node application elements and the equipment construction division space set to obtain an equipment area process node set, and the equipment construction division space set corresponds to the equipment area process node set one by one;
The historical data acquisition module is used for acquiring historical equipment cleaning and disinfection data information through big data, wherein the historical equipment cleaning and disinfection data information comprises equipment production application data, equipment cleaning and disinfection data and equipment cleaning effect data;
the space model construction module is used for constructing a device cleaning and disinfecting space model according to the device production application data, the device cleaning and disinfecting data and the device cleaning and disinfecting effect data;
the disinfection scheme output module is used for inputting the equipment area process node set into the equipment cleaning and disinfection space model for matching, and outputting an equipment area cleaning and disinfection scheme;
and the cleaning and disinfecting treatment module is used for carrying out directional cleaning and disinfecting treatment on the target medicine production equipment based on the equipment area cleaning and disinfecting scheme.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002143089A (en) * | 2000-11-15 | 2002-05-21 | Olympus Optical Co Ltd | Endoscope washing and disinfecting device |
| JP2012071028A (en) * | 2010-09-29 | 2012-04-12 | Fujifilm Corp | Endoscope washing control system, and endoscope washing control method |
| EP3287148A2 (en) * | 2016-08-26 | 2018-02-28 | Bacsassin B.V. | System for bacteria detection and elimination according to sid |
| CN113947311A (en) * | 2021-10-19 | 2022-01-18 | 常州市第二人民医院 | Method and system for tracking regional disinfection supply bar code |
| CN115814137A (en) * | 2023-02-22 | 2023-03-21 | 山东浩歌智能科技有限公司 | Method and system for improving disinfection effect of pulse ultraviolet disinfection equipment |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140348880A1 (en) * | 2013-05-24 | 2014-11-27 | Cape Breton University | Ortho-Aminothiophenol Compounds and Uses Thereof |
| GB201907796D0 (en) * | 2019-05-31 | 2019-07-17 | Aquila Bioscience | Device and method for decontamination/disinfection |
| CN110443002A (en) * | 2019-08-16 | 2019-11-12 | 中国水利水电科学研究院 | A kind of Deformation of Steep Slopes prediction technique and system |
-
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002143089A (en) * | 2000-11-15 | 2002-05-21 | Olympus Optical Co Ltd | Endoscope washing and disinfecting device |
| JP2012071028A (en) * | 2010-09-29 | 2012-04-12 | Fujifilm Corp | Endoscope washing control system, and endoscope washing control method |
| EP3287148A2 (en) * | 2016-08-26 | 2018-02-28 | Bacsassin B.V. | System for bacteria detection and elimination according to sid |
| CN113947311A (en) * | 2021-10-19 | 2022-01-18 | 常州市第二人民医院 | Method and system for tracking regional disinfection supply bar code |
| CN115814137A (en) * | 2023-02-22 | 2023-03-21 | 山东浩歌智能科技有限公司 | Method and system for improving disinfection effect of pulse ultraviolet disinfection equipment |
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