Raw material conveying control method and system of full-automatic polypropylene ampoule bottle production line

Abstract

The invention relates to a raw material conveying control method and system for a full-automatic polypropylene ampoule bottle production line, and the method comprises the steps: M1, a material grabbing robot places a granule bag for producing a polypropylene ampoule bottle on a conveying roller for conveying, and obtains the data information of the conveying speed of the granule bag in real time based on a photoelectric sensor on the production line; and M2, a preliminary cleaning stage: conveying the granule bag for producing the polypropylene ampoule bottle to a position below a cleaning brush group by a conveying roller, and carrying out preliminary cleaning work on the surface of the granule bag to obtain the granule bag subjected to preliminary cleaning. According to the device, the conveying speed of the granule bags and the alcohol spraying flow can be accurately controlled and dynamically adjusted, the treatment effect of the granule bags is guaranteed, meanwhile, the production efficiency of the whole polypropylene ampoule bottle is improved, manual participation is not needed in the whole process, the labor intensity is reduced, and the production efficiency of a factory is further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of polypropylene ampoule production, in particular to a raw material conveying control method and system of a full-automatic polypropylene ampoule production line. BACKGROUND

[0002] In the production process of polypropylene ampoules, polypropylene granules need to be conveyed and then melt-injected to obtain polypropylene ampoules. In the conveying process of the polypropylene granules, the cleanliness of the granule bag needs to be ensured and sterilization treatment needs to be performed. Traditional alcohol spraying treatment does not optimize the control and dynamic adjustment of the alcohol flow and the conveying speed of the conveying roller, resulting in excessive alcohol spraying waste, insufficient sterilization due to insufficient alcohol spraying, insufficient sterilization due to excessive conveying speed of the conveying roller, and low overall production efficiency due to slow conveying speed of the conveying roller. Therefore, how to optimize the control of the conveying of the granule bag in the production of polypropylene ampoules has become a problem that needs to be solved. SUMMARY

[0003] In view of the above problems, the present application provides a raw material conveying control method and system of a full-automatic polypropylene ampoule production line, which can accurately control and dynamically adjust the conveying speed of the granule bag and the alcohol spraying flow, ensure the treatment effect of the granule bag, and improve the overall production efficiency of the polypropylene ampoule.

[0004] To achieve the above object and other related objects, the technical scheme provided by the present application is as follows: A raw material conveying control method of a full-automatic polypropylene ampoule production line, the method comprising: M1. A grabbing robot places a granule bag for producing polypropylene ampoules on a conveying roller for conveying, and real-time data information of the conveying speed of the granule bag is acquired based on a photoelectric sensor on the production line; M2. In the preliminary cleaning stage, the conveying roller conveys the granule bag for producing polypropylene ampoules to a cleaning brush group to preliminarily clean the surface of the granule bag, and a preliminarily cleaned granule bag is obtained; M3. In the sterilization and disinfection stage, the conveying roller conveys the preliminarily cleaned granule bag to the lower side of an alcohol spraying head for sterilization, real-time data information of the alcohol spraying flow is acquired based on a flow sensor on the alcohol spraying head, and a sterilized granule bag is obtained; M4. In the sterilization detection stage, the conveying roller conveys the sterilized granule bag to a sterilization detection area for detection, and data information of the bacterial index of the granule bag is output; M5. Based on the data information of the bacterial index of the pellet package, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the pellet package, the flow of alcohol spraying and the conveying speed of the pellet package are optimized by using the improved gull optimization algorithm with multi-subpopulation symbiotic non-uniform Gaussian variation, to obtain the data information of the optimized flow of alcohol spraying and the conveying speed of the pellet package, and the rotational speed of the conveying roller and the flow of the alcohol spraying head are optimized and controlled.

[0005] Further, the method further comprises: M6. Package opening stage: based on the data information of the bacterial index of the pellet package, a preset threshold is set, if the bacterial index of the pellet package is less than the preset threshold, the pellet package is opened, if the bacterial index of the pellet package is greater than the preset threshold, the pellet package is not opened.

[0006] Further, in step M5, the improved gull optimization algorithm with multi-subpopulation symbiotic non-uniform Gaussian variation is used to optimize the flow of alcohol spraying and the conveying speed of the pellet package, comprising: H1. Based on the data information of the bacterial index of the pellet package, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the pellet package, the gull population is initialized, the population parameters are determined, and the data information of the initialized gull population is obtained; H2. Based on the data information of the initialized gull population, the fitness value function W of the gull population individual is established, , Wherein, x i is the data information of the i-th individual of the initialized gull population, and a1, a2 and a3 are weight coefficients, the fitness value of the gull population individual is calculated, and the data information of the fitness value of the gull population individual is obtained; H3. Based on the data information of the fitness value of the gull population individual, the gull population is evenly divided into multiple subpopulations according to the size of the fitness value of the gull population individual, and the data information of the gull multiple subpopulations is obtained; H4. Based on the data information of the gull multiple subpopulations, the target optimization function Q is established, , Wherein, y is the data information of the gull multiple subpopulations, and β, δ and λ are any constant parameters between 0 and 1, the flow of alcohol spraying and the conveying speed of the pellet package are optimized, and the data information of the optimized flow of alcohol spraying and the conveying speed of the pellet package is obtained.

[0007] Further, the weight coefficients a1, a2 and a3 are respectively random numbers obeying normal distribution between 0 and 1.

[0008] Further, the constraint condition of the constant parameters β, δ and λ is that the sum of squares of β, δ and λ is 1.

[0009] Further, the step of uniformly dividing the seagull population into multiple sub-populations according to the fitness values of the individuals in the seagull population comprises the following steps: arranging the individuals in the seagull population in ascending order according to the fitness values of the individuals in the seagull population, and setting a fixed step length; and dividing the individuals in the seagull population into sub-populations, wherein the individuals in the seagull population within each step length form a sub-population of the seagull population.

[0010] Further, the cleaning brush group is used for dust cleaning of each surface of the pellet package, and the preliminary cleaning stage, the sterilization and disinfection stage, the sterilization detection stage and the opening stage are all in a sterile environment.

[0011] To achieve the above object and other related objects, the present application further provides a system for implementing the raw material conveying control method of any one of the full-automatic polypropylene ampoule production lines, which comprises: A pellet package conveying module is used for placing the pellet package for producing polypropylene ampoules on a conveying roller by a grabbing robot for conveying, and real-time acquisition of data information of the conveying speed of the pellet package based on photoelectric sensors on the production line; A pellet package dust treatment module is connected with the pellet package conveying module, and is used for conveying the pellet package for producing polypropylene ampoules to the lower side of a cleaning brush group by the conveying roller, performing preliminary cleaning work on the surface of the pellet package, and obtaining the pellet package after preliminary cleaning; A pellet package sterilization module is connected with the pellet package dust treatment module, and is used for conveying the pellet package after preliminary cleaning to the lower side of an alcohol spraying head by the conveying roller for sterilization, real-time acquisition of data information of the flow of alcohol spraying based on a flow sensor on the alcohol spraying head, and obtaining the pellet package after sterilization treatment; A pellet package sterilization detection module is connected with the pellet package sterilization module, and is used for conveying the pellet package after sterilization treatment to a sterilization detection area by the conveying roller for detection, and outputting data information of the bacterial index of the pellet package; A pellet package conveying optimization control module is connected with the pellet package sterilization detection module, the pellet package sterilization module and the pellet package conveying module, and is used for optimizing the flow of alcohol spraying and the conveying speed of the pellet package by using an improved seagull optimization algorithm with symbiotic non-uniform Gaussian variation of multiple sub-populations based on the data information of the bacterial index of the pellet package, the data information of the flow of alcohol spraying and the data information of the conveying speed of the pellet package, obtaining data information of the optimized flow of alcohol spraying and the optimized conveying speed of the pellet package, and optimizing the rotation speed of the conveying roller and the flow of the alcohol spraying head.

[0012] Further, the system further comprises a pellet bag opening module connected with the pellet bag sterilization detection module, for setting a preset threshold based on the data information of the bacterial index of the pellet bag, if the bacterial index of the pellet bag is less than the preset threshold, the pellet bag is opened, and if the bacterial index of the pellet bag is greater than the preset threshold, the pellet bag is not opened.

[0013] Further, the system further comprises a human-computer interaction module connected with the opening module, for displaying the opening data of the pellet bag in real time.

[0014] The present application has the following positive effects: 1. The present application optimizes the flow of alcohol spraying and the conveying speed of the pellet bag by adopting the improved gull optimization algorithm with multi-subgroup symbiotic non-uniform Gaussian variation, obtains the data information of the optimized flow of alcohol spraying and the conveying speed of the pellet bag, and optimizes the speed of the conveying roller and the flow of the alcohol spraying head, which not only can accurately control and dynamically adjust the speed of the pellet bag conveying and the flow of alcohol spraying, ensure the processing effect of the pellet bag and improve the production efficiency of the whole polypropylene ampoule, and the whole process does not need manual participation, reduces the labor intensity, and further improves the production efficiency of the factory.

[0015] 2. The present application processes the pellet bag through the preliminary cleaning stage, the disinfection and sterilization stage, the sterilization detection stage and the opening stage, which not only has high integration degree, is convenient for unified management, improves the production efficiency of the whole factory, reduces the energy consumption, and solves the efficiency bottleneck, quality fluctuation and resource waste problem in traditional production through data-driven decision, automatic execution and real-time feedback optimization. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a structure schematic view of the pellet bag conveying line of the present application; Figure 2 It is a method flow schematic view of the present application; Figure 3 It is a flow schematic view of the improved gull optimization algorithm with multi-subgroup symbiotic non-uniform Gaussian variation of the present application; Figure 4 It is a system framework schematic view of the present application.

[0017] Explanation of reference numerals in the drawing: 1-belt conveyor, 2-optical sensor, 3-cleaning brush group, 4-alcohol spraying head (with flow sensor), 5-sterilization detection area, 6-pellet bag, 7-tray position, 8-suction hopper, 9-FFU laminar flow unit, 10-grabbing robot, 11-storage bin. DETAILED DESCRIPTION

[0018] Exemplary embodiments of the present disclosure are described herein below with reference to the accompanying drawings, in which various details of embodiments of the present disclosure are set forth to facilitate an understanding, and should be considered in a descriptive sense. A person skilled in the art will readily recognize that various alternatives to the embodiments described herein can be made and used in addition to or in place of the embodiments described herein without departing from the scope and spirit of the present disclosure. Also, for the purpose of clarity and the brevity of description, the description below omits the description of well-known functions and structures.

[0019] Embodiment 1: As shown in Figure 1 or Figure 2 A raw material conveying control method of a full-automatic polypropylene ampoule production line, the method comprising: M1. A grabbing robot 10 places a granule bag 6 for producing polypropylene ampoules on a conveying roller for conveying, and obtains data information of a conveying speed of the granule bag in real time based on a photoelectric sensor 2 on the production line; M2. A preliminary cleaning stage: the conveying roller conveys the granule bag for producing polypropylene ampoules to a cleaning brush group 3, performs preliminary cleaning work on the surface of the granule bag, and obtains a preliminarily cleaned granule bag; M3. A disinfection and sterilization stage: the conveying roller conveys the preliminarily cleaned granule bag to below an alcohol spraying head 4 for disinfection, obtains data information of a flow of alcohol spraying in real time based on a flow sensor on the alcohol spraying head 4, and obtains a granule bag after disinfection treatment; M4. A sterilization detection stage: the conveying roller conveys the granule bag after disinfection treatment to a sterilization detection area 5 for detection, and outputs data information of a bacterial index of the granule bag; M5. Based on the data information of the bacterial index of the granule bag, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the granule bag, an improved seagull optimization algorithm with multi-subgroup symbiosis non-uniform Gaussian variation is used to optimize the flow of alcohol spraying and the conveying speed of the granule bag, data information of the optimized flow of alcohol spraying and the conveying speed of the granule bag is obtained, and the speed of the conveying roller and the flow of the alcohol spraying head are optimized and controlled.

[0020] In this embodiment, as shown in Figure 1 The grabbing robot 10 grabs the granule bag 6 on the tray site 7, places it on the belt conveyor 1 for conveying, passes through the cleaning brush group 3, then passes through the alcohol spraying head 4 for disinfection and sterilization treatment, and then passes through the sterilization detection area 5 for detection. An FFU laminar flow unit 9 and a suction hopper 8 are arranged in the unpacking area, and the suction hopper 8 sucks the granule into a storage bin 11.

[0021] In this embodiment, the FFU laminar flow unit 9 can maintain the cleanliness of the space, and greatly control the settlement bacteria and planktonic bacteria, etc.

[0022] In this embodiment, the method further includes: M6. Unpacking Stage: Based on the bacterial index data of the pellet package, a preset threshold is set. If the bacterial index of the pellet package is less than the preset threshold, the pellet package is unpacked; if the bacterial index of the pellet package is greater than the preset threshold, the package is not unpacked.

[0023] In this embodiment, as Figure 3 As shown, in step M5, the optimization of the alcohol spraying flow rate and the conveying speed of the granular bags using the improved Seagull optimization algorithm with multi-subgroup co-occurrence non-uniform Gaussian mutation includes: H1. Based on the bacterial index data of the pellet bag, the flow rate data of the alcohol spray, and the conveying speed data of the pellet bag, the seagull population is initialized, the population parameters are determined, and the data of the initialized seagull population is obtained. H2. Based on the data information of the initialized seagull population, establish a fitness value function W for individual seagulls in the population. , Where, x i The data information of the i-th individual in the initialized seagull population is obtained by estimating the fitness value of the individual in the seagull population using α1, α2 and α3 as weight coefficients. H3. Based on the fitness values ​​of the individual seagulls, the seagull population is divided into multiple subpopulations according to the size of their fitness values, thus obtaining data information for the multiple subpopulations of seagulls. H4. Based on the data information of the multiple subpopulations of the seagulls, establish an objective optimization function Q. , Where y represents the data information of multiple subpopulations of seagulls, and β, δ, and λ are any constant parameters between 0 and 1. The flow rate of alcohol spraying and the conveying speed of granule bags are optimized to obtain the optimized data information of alcohol spraying flow rate and granule bag conveying speed.

[0024] In this embodiment, the weighting coefficients α1, α2 and α3 are random numbers between 0 and 1 that follow a normal distribution.

[0025] In this embodiment, the constraint condition for the constant parameters β, δ, and λ is that the sum of the squares of β, δ, and λ is 1.

[0026] In the embodiment, the sea gull population is divided into multiple sub-populations according to the uniformity of the fitness values of the individuals in the sea gull population, the individuals in the sea gull population are arranged according to the size of the fitness values from small to large, and a fixed step is set, and the individuals in the sea gull population in each step form a sub-population of the sea gull population.

[0027] In the embodiment, the cleaning brush group is used to clean the dust on each surface of the pellet package, and the preliminary cleaning stage, the sterilization stage, the sterilization detection stage and the opening stage are all in a sterile environment.

[0028] In the embodiment, in order to verify the effectiveness of the embodiment 1 of the application, a comparative experiment is carried out, and the experimental conditions are as follows: Control group: the traditional pellet conveying speed and alcohol spraying amount are used.

[0029] Experimental group: the improved sea gull optimization algorithm with multiple sub-populations and symbiotic non-uniform Gaussian variation is used to optimize the flow of alcohol spraying and the conveying speed of the pellet package, and the flow of alcohol spraying and the conveying speed of the pellet package are dynamically adjusted.

[0030] Table 1: chart of experimental data analysis

[0031] The experimental results show that the alcohol consumption of the control group is 75% of the total alcohol, and the alcohol consumption of the experimental group is 50.5% of the total alcohol, compared with the traditional method, the alcohol consumption is reduced by about 25%, and the time spent for producing the same batch of polypropylene ampoule bottles is reduced by 40%, which not only saves resources, but also improves the production efficiency of the product.

[0032] Embodiment 2: On the basis of the raw material conveying control method of the full-automatic polypropylene ampoule bottle production line in embodiment 1, the application is further described and explained.

[0033] As shown in Figure 1 or Figure 2 A raw material conveying control method of a full-automatic polypropylene ampoule bottle production line, the method comprises: M1. The material grabbing robot 10 places the pellet package 6 for producing polypropylene ampoule bottles on the conveying roller for conveying, and acquires data information of the conveying speed of the pellet package based on the photoelectric sensor 2 on the production line; M2. Preliminary cleaning stage: the conveying roller conveys the pellet package for producing polypropylene ampoule bottles to the cleaning brush group 3, and performs preliminary cleaning work on the surface of the pellet package to obtain a preliminarily cleaned pellet package; M3. Disinfection stage: the conveying roller transports the preliminary cleaned granular package to the lower side of the alcohol spraying head 4 for disinfection, the flow data information of alcohol spraying is obtained in real time based on the flow sensor on the alcohol spraying head 4, and the granular package after disinfection treatment is obtained; M4. Sterilization detection stage: the conveying roller transports the granular package after disinfection treatment to the sterilization detection area 5 for detection, and the data information of the bacterial index of the granular package is output; M5. Based on the data information of the bacterial index of the granular package, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the granular package, the flow of alcohol spraying and the conveying speed of the granular package are optimized by using the improved gull optimization algorithm with multi-subgroup symbiotic non-uniform Gaussian variation, the data information of the optimized flow of alcohol spraying and the conveying speed of the granular package is obtained, and the rotation speed of the conveying roller and the flow of the alcohol spraying head are optimized and controlled.

[0034] In this embodiment, as shown in Figure 4 The system for implementing the raw material conveying control method of any one of the full-automatic polypropylene ampoule production line comprises: A granular package conveying module is used for placing the granular package for producing polypropylene ampoules on the conveying roller by the grabbing robot for conveying, and the data information of the conveying speed of the granular package is obtained in real time based on the photoelectric sensor on the production line; A granular package dust treatment module is connected with the granular package conveying module, and is used for conveying the granular package for producing polypropylene ampoules to the lower side of the clean brush group by the conveying roller, so as to preliminarily clean the surface of the granular package, and obtain the preliminarily cleaned granular package; A granular package disinfection module is connected with the granular package dust treatment module, and is used for conveying the preliminarily cleaned granular package to the lower side of the alcohol spraying head by the conveying roller for disinfection, and the data information of the flow of alcohol spraying is obtained in real time based on the flow sensor on the alcohol spraying head, and the granular package after disinfection treatment is obtained; A granular package sterilization detection module is connected with the granular package disinfection module, and is used for conveying the granular package after disinfection treatment to the sterilization detection area by the conveying roller for detection, and the data information of the bacterial index of the granular package is output; A granular package conveying optimization control module is connected with the granular package sterilization detection module, the granular package disinfection module, and the granular package conveying module, and is used for optimizing the flow of alcohol spraying and the conveying speed of the granular package based on the data information of the bacterial index of the granular package, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the granular package by using the improved gull optimization algorithm with multi-subgroup symbiotic non-uniform Gaussian variation, obtaining the data information of the optimized flow of alcohol spraying and the conveying speed of the granular package, and optimizing and controlling the rotation speed of the conveying roller and the flow of the alcohol spraying head.

[0035] In the embodiment, the system further comprises a granular material bag opening module connected with the granular material bag sterilization detection module, configured to set a preset threshold based on the data information of the bacterial index of the granular material bag, and open the granular material bag if the bacterial index of the granular material bag is less than the preset threshold, and not open the granular material bag if the bacterial index of the granular material bag is greater than the preset threshold.

[0036] In the embodiment, the system further comprises a human-computer interaction module connected with the opening module, configured to display the opening data of the granular material bag in real time.

[0037] The application provides a computer readable storage medium, which stores a computer program programmed or configured to perform the raw material conveying control method of the full-automatic polypropylene ampoule production line.

[0038] Any reference to memory, storage, database, or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. The non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. The volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0039] In summary, the application can not only accurately control and dynamically adjust the conveying speed of the granular material bag and the alcohol spraying flow, ensure the processing effect of the granular material bag, and improve the production efficiency of the polypropylene ampoule, but also does not need manual participation in the whole process, reduces the labor intensity, and further improves the production efficiency of the factory.

[0040] The above specific embodiments do not constitute a limitation on the protection scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modification, equivalent replacement, and improvement within the spirit and principles of the present disclosure should be included in the protection scope of the present disclosure.

Claims

1. A raw material conveying control method for a fully automatic polypropylene ampoule production line, characterized by, The method comprises: M1. The grabbing robot places the granular package for producing polypropylene ampoule bottles on the conveying roller for conveying, and real-time data information of the conveying speed of the granular package is obtained based on the photoelectric sensor on the production line; M2. The preliminary cleaning stage: the conveying roller conveys the granular package for producing polypropylene ampoule bottles to the cleaning brush group, and the surface of the granular package is preliminarily cleaned to obtain the granular package after preliminary cleaning; M3. The disinfection and sterilization stage: the conveying roller conveys the granular package after preliminary cleaning to the lower part of the alcohol spraying head for disinfection, real-time data information of the flow of alcohol spraying is obtained based on the flow sensor on the alcohol spraying head, and the granular package after disinfection is obtained; M4. The sterilization detection stage: the conveying roller conveys the granular package after disinfection to the sterilization detection area for detection, and outputs the data information of the bacterial index of the granular package; M5. Based on the data information of the bacterial index of the granular package, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the granular package, an improved gull optimization algorithm with multiple subpopulations and symbiotic non-uniform Gaussian variation is used to optimize the flow of alcohol spraying and the conveying speed of the granular package, and the data information of the optimized flow of alcohol spraying and the conveying speed of the granular package is obtained, and the speed of the conveying roller and the flow of the alcohol spraying head are optimized and controlled.

2. The raw material conveying control method for a full-automatic polypropylene ampoule production line according to claim 1, characterized in that, The method further comprises: M6. The opening package stage: based on the data information of the bacterial index of the granular package, a preset threshold is set, if the bacterial index of the granular package is less than the preset threshold, the granular package is opened, and if the bacterial index of the granular package is greater than the preset threshold, the granular package is not opened.

3. The raw material conveying control method of a full-automatic polypropylene ampoule production line according to claim 1, characterized in that, In step M5, the improved gull optimization algorithm with multiple subpopulations and symbiotic non-uniform Gaussian variation is used to optimize the flow of alcohol spraying and the conveying speed of the granular package, which comprises: H1. Based on the data information of the bacterial index of the granular package, the data information of the flow of alcohol spraying, and the data information of the conveying speed of the granular package, the gull population is initialized, the population parameters are determined, and the data information of the initialized gull population is obtained; H2. Based on the data information of the initialized gull population, the fitness value function W of the gull population individual is established, ， wherein x i is the data information of the i-th individual of the initialized seagull population, and α1, α2 and α3 are weight coefficients, the fitness value of the seagull population individual is calculated, and the data information of the fitness value of the seagull population individual is obtained. H3. Based on the data information of the gull population individual, the gull population is evenly divided into multiple subpopulations according to the size of the fitness value of the gull population individual, and the data information of the gull multiple subpopulations is obtained; H4. Based on the data information of the gull multiple subpopulations, the target optimization function Q is established, ， Wherein, y is the data information of the gull multiple subpopulations, β, δ and λ are any constant parameters between 0 and 1, the flow of alcohol spraying and the conveying speed of the granular package are optimized, and the data information of the optimized flow of alcohol spraying and the conveying speed of the granular package is obtained.

4. The raw material conveying control method of a full-automatic polypropylene ampoule production line according to claim 3, characterized in that: The weight coefficients α1, α2 and α3 are random numbers between 0 and 1 obeying normal distribution respectively.

5. The raw material conveying control method of a full-automatic polypropylene ampoule production line according to claim 3, characterized in that: The constraint condition of the constant parameters β, δ and λ is that the sum of squares of β, δ and λ is 1.

6. The raw material conveying control method of a full-automatic polypropylene ampoule production line according to claim 3, characterized in that: The sea gull population is divided into multiple sub-populations according to the uniformity of the fitness values of the individuals in the sea gull population, which is arranged according to the fitness values of the individuals in the sea gull population from small to large, and a fixed step is set, and the individuals in the sea gull population are divided, and the individuals in each step of the sea gull population constitute a sub-population of the sea gull population.

7. The raw material conveying control method of a full-automatic polypropylene ampoule production line according to claim 1, characterized in that: The cleaning brush group is used for dust cleaning of each face of the granule bag, and the preliminary cleaning stage, the sterilization and disinfection stage, the sterilization detection stage and the opening stage are all in a sterile environment.

8. A system for realizing the raw material conveying control method of the fully automatic polypropylene ampoule production line according to any one of claims 1 to 7, characterized by, The system comprises: A granule bag conveying module is used for placing the granule bag for producing polypropylene ampoules on a conveying roller by a grabbing robot for conveying, and data information of a conveying speed of the granule bag is acquired in real time based on a photoelectric sensor on a production line; A granule bag dust treatment module is connected with the granule bag conveying module, and is used for conveying the granule bag for producing polypropylene ampoules to below a cleaning brush group by the conveying roller, and performing preliminary cleaning work on the surface of the granule bag to obtain a preliminarily cleaned granule bag; A granule bag sterilization module is connected with the granule bag dust treatment module, and is used for conveying the preliminarily cleaned granule bag to below an alcohol spraying head by the conveying roller for sterilization, acquiring data information of a flow of alcohol spraying in real time based on a flow sensor on the alcohol spraying head, and obtaining a sterilized granule bag; A granule bag sterilization detection module is connected with the granule bag sterilization module, and is used for conveying the sterilized granule bag to a sterilization detection area by the conveying roller for detection, and outputting data information of a bacterial index of the granule bag; A granule bag conveying optimization control module is connected with the granule bag sterilization detection module, the granule bag sterilization module and the granule bag conveying module, and is used for optimizing the flow of alcohol spraying and the conveying speed of the granule bag based on the data information of the bacterial index of the granule bag, the data information of the flow of alcohol spraying and the data information of the conveying speed of the granule bag by using an improved sea gull optimization algorithm with multiple sub-populations and symbiotic non-uniform Gaussian variation, obtaining data information of the optimized flow of alcohol spraying and the optimized conveying speed of the granule bag, and optimizing control of the rotating speed of the conveying roller and the flow of the alcohol spraying head.

9. The system of claim 8, wherein, The system further comprises a granule bag opening module connected with the granule bag sterilization detection module, and is used for setting a preset threshold based on the data information of the bacterial index of the granule bag, opening the granule bag if the bacterial index of the granule bag is less than the preset threshold, and not opening the granule bag if the bacterial index of the granule bag is greater than the preset threshold.

10. The system of claim 8, wherein, The system further comprises a human-computer interaction module connected with the opening module, and is used for displaying opening data of the granule bag in real time.

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