Production detection system and method for beverage straw production

Abstract

The present invention discloses a production inspection system and method for the production of beverage straws, which relates to the technical field of beverage straws. The system can automatically adjust the configuration of the appearance inspection equipment and the gear position of the transmission equipment according to the production order information of different customers and different types of straws. This not only improves the adaptability and flexibility of the production equipment, but also can set a reasonable fluid adaptability coefficient threshold according to the product fluid characteristics of each type of straw. This ensures that the straws can adapt to different fluids in actual use, thereby improving the applicability of the product and customer satisfaction, and can automatically issue an early warning notification when the fluid adaptability test of the straw fails. This allows problems arising in the production process to be discovered and handled in a timely manner, reducing the defective rate and potential customer complaints. The graded early warning mechanism, such as orange, yellow, and red, can respond at different levels according to the severity of the problem, ensuring that the problem is handled at an early stage.

Description

Technical Field

[0001] The present invention relates to the technical field of beverage straws, and in particular to a production detection system and method for producing beverage straws. Background Art

[0002] With the rapid development of the beverage market, especially the increasing popularity of coffee, juice, and milk tea, the demand for beverage straws continues to increase, driving the personalization and customization of products. The flexibility and efficiency of the production process are particularly important, as any minor defects in the production process may affect the safety of the final product and the health of consumers. Fluid adaptability and material compatibility with beverages are key aspects of quality control. Therefore, a production inspection system and method for beverage straw production is needed.

[0003] Prior art, such as the invention patent application with publication number CN114549441A, discloses a straw defect detection method based on image processing. The method includes the following steps: acquiring multi-side straw image data; locating and segmenting the straw region; detecting black spot features: filtering the filtered image using a selective median filter algorithm to obtain a filtered image; performing binary segmentation of the filtered image and marking connected regions using a local dynamic threshold algorithm; selecting black spot features based on the marked connected regions; detecting yellow spot features: enhancing the straw region image and mapping it to the frequency domain, performing adaptive low-pass filtering, and mapping it back to the spatial domain; performing differential and threshold segmentation on the filtered and enhanced images, marking connected regions, and detecting yellow spot features; and finally determining straw defects. This method is applicable to both traditional plastic straws and new biodegradable straws and has strong universality. It is less susceptible to environmental influences, detects a wide range of defect sizes, and has high detection speed, thereby improving the accuracy of defect detection.

[0004] In response to the above scheme, the applicant of the present invention has found that the above technology has at least the following technical problems: 1. The existing production and testing processes often rely on manual equipment adjustment and testing, which is prone to misjudgment, resulting in improper equipment settings or inaccurate test results, thereby affecting product quality. During the production process, if unqualified products occur, manual monitoring may not be able to detect the problem in time, resulting in a large number of unqualified products flowing out. The lack of an automatic early warning mechanism makes the problem not handled quickly enough, which may cause greater economic losses. Since the existing technology may lack efficient data collection and analysis processes, production scheduling and equipment configuration need to be completed manually, resulting in an unsmooth production process and increased production cycle and cost.

[0005] 2. Existing technologies may lack flexibility in meeting the production needs of different customers and different types of straws. It is impossible to quickly adjust equipment parameters according to different production orders, making it difficult to achieve personalized customized production. Manual processing of production orders and test data leads to a lack of systematic and scientific decision-making, which may lead to waste of resources and reduced efficiency. The lack of effective analytical tools makes it impossible to optimize production processes and improve product quality. In the absence of a standardized testing and adjustment system, different batches of products produced are likely to have quality differences, affecting consumers' trust in the brand. Delays in responding to customer needs will lead to a decline in customer satisfaction, which may affect market share and the competitiveness of the company in the long run. Due to the lack of a reasonable data foundation, the efficiency of production equipment may not reach the optimal state, resulting in a waste of resources. The existing system may lack effective process control and optimization mechanisms, resulting in poor coordination between various links and a lack of effective tracking of production progress and quality. Summary of the Invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a production detection system and method for beverage straw production.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a production inspection system for beverage straw production, including: an inspection equipment adjustment module: used to obtain straw production order information corresponding to each type of straw for each customer in the target straw enterprise, and then analyze the appearance inspection equipment configuration and appearance transmission equipment gear corresponding to each type of straw for each customer based on the straw production order information corresponding to each type of straw for each customer.

[0008] Fluid adaptability coefficient threshold setting module: This module is used to obtain the corresponding product fluid characteristics of each type of straw for each customer after each type of straw passes the appearance production inspection. The product fluid characteristics include product viscosity, product density, and the corresponding ratios of each component. The module then analyzes the corresponding product fluid assessment coefficient for each type of straw for each customer, and then sets and analyzes the corresponding fluid adaptability coefficient threshold for each type of straw for each customer.

[0009] Detection and warning notification module: This module is used to determine whether the fluid compatibility of each type of straw for each customer is qualified when the fluid compatibility of each type of straw is tested. It also issues a detection and warning notification when the fluid compatibility of a product corresponding to a certain type of straw for a certain customer is unqualified.

[0010] Preferably, the detection equipment adjustment module further includes an information extraction unit and an information analysis unit.

[0011] The information extraction unit is used to parse the straw production order information corresponding to each type of straw for each customer using a natural language processing tool, and extract the straw order parameters corresponding to each type of straw for each customer. The straw order parameters include order quantity, production time, and product length.

[0012] The information analysis unit is used to analyze the straw order parameters corresponding to each type of straw for each customer, and then obtain the straw order evaluation coefficient corresponding to each type of straw for each customer.

[0013] Preferably, the appearance inspection equipment configuration corresponding to each type of straw for each customer is analyzed, and the specific analysis process is as follows: the straw order evaluation coefficient corresponding to each type of straw for each customer is compared with the straw order evaluation coefficient interval corresponding to each appearance inspection equipment configuration in the database. If the straw order evaluation coefficient corresponding to a certain type of straw for a certain customer is within the straw order evaluation coefficient interval corresponding to a certain appearance inspection equipment configuration in the database, then the appearance inspection equipment configuration in the database is used as the appearance inspection equipment configuration corresponding to the type of straw for the customer, and the appearance inspection equipment configuration corresponding to each type of straw for each customer is sent to the automation controller through the self-configuration management system. The automation controller receives the command from the configuration management system, thereby adjusting the appearance inspection equipment configuration corresponding to each type of straw for each customer. In this way, the appearance inspection equipment configuration corresponding to each type of straw for each customer is analyzed.

[0014] Preferably, the appearance transmission equipment gear corresponding to each type of straw for each customer is analyzed, and the specific analysis process is as follows: the straw order evaluation coefficient corresponding to each type of straw for each customer is compared with the straw order evaluation coefficient interval corresponding to each appearance transmission equipment gear in the database. If the straw order evaluation coefficient corresponding to a certain type of straw for a certain customer is within the straw order evaluation coefficient interval corresponding to a certain appearance transmission equipment gear in the database, then the appearance transmission equipment gear in the database is used as the appearance transmission equipment gear corresponding to the type of straw for the customer, and the appearance transmission equipment gear corresponding to each type of straw for each customer is sent to the automation controller through the self-configuration management system. The automation controller receives the command from the configuration management system, thereby adjusting the appearance transmission equipment gear corresponding to each type of straw for each customer. In this way, the appearance transmission equipment gear corresponding to each type of straw for each customer is analyzed.

[0015] Preferably, the fluid adaptability coefficient threshold corresponding to each type of straw for each customer is set and analyzed. The specific analysis process is as follows: the product fluid evaluation coefficient corresponding to each type of straw for each customer is compared with the product fluid evaluation coefficient interval corresponding to each fluid adaptability coefficient threshold in the database. If the product fluid evaluation coefficient corresponding to a certain type of straw for a certain customer is within the product fluid evaluation coefficient interval corresponding to a certain fluid adaptability coefficient threshold in the database, then the fluid adaptability coefficient threshold in the database is used as the fluid adaptability coefficient threshold corresponding to the type of straw for the customer and is set. In this way, the fluid adaptability coefficient threshold corresponding to each type of straw for each customer is set and analyzed.

[0016] Preferably, the determination of whether the fluid compatibility of each type of straw for each customer is qualified is specifically performed as follows: A1. When the fluid compatibility of each type of straw for each customer is tested, a plurality of collection time points are set, and then the flow resistance and flow rate corresponding to each type of fluid at each temperature of each type of straw for each customer are collected at each collection time point.

[0017] A2. Record the flow resistance and flow rate of each type of straw in each type of fluid at each temperature for each customer at each collection time point as and Where g represents the number corresponding to each collection time point, g = 1, 2...a, a is any integer greater than 2, i represents the number corresponding to each temperature, i = 1, 2...b, b is any integer greater than 2, z represents the number corresponding to each type of fluid, z = 1, 2...c, c is any integer greater than 2, s represents the number corresponding to each straw, s = 1, 2...d, d is any integer greater than 2. Substitute into the calculation formula: The fluid adaptability coefficient γ corresponding to each type of straw for each customer is obtained. hks , where X′ and F′ are the standard flow resistance and standard flow rate corresponding to the set straw, respectively; ρ1 and ρ2 are the weight factors corresponding to the set straw flow resistance and flow rate, respectively.

[0018] A3. Compare the fluid adaptability coefficient corresponding to each straw of each type of straw for each customer with a set threshold value of the corresponding fluid adaptability coefficient. If the fluid adaptability coefficient corresponding to a certain straw of a certain type of straw for a certain customer is less than the set threshold value of the corresponding fluid adaptability coefficient, then the fluid adaptability corresponding to the straw of that type of straw for that customer is determined to be unqualified. If the fluid adaptability coefficient corresponding to a certain straw of a certain type of straw for that customer is greater than or equal to the set threshold value of the corresponding fluid adaptability coefficient, then the fluid adaptability corresponding to the straw of that type of straw for that customer is determined to be qualified. In this way, whether the fluid adaptability corresponding to each straw of each type of straw for each customer is qualified is determined.

[0019] Preferably, when the product fluid compatibility of a certain type of straw for a certain customer fails to meet the requirements, a detection warning notification is issued. The specific warning process is as follows: B1. If the fluid compatibility coefficient of a certain type of straw for a certain customer is less than a set threshold of 5% of the corresponding fluid compatibility coefficient, an orange mild abnormality warning is issued to alert relevant personnel to the minor abnormality and to conduct continuous monitoring.

[0020] B2. If the fluid adaptability coefficient corresponding to a certain type of straw of a certain customer is less than 10% of the set threshold value of the corresponding fluid adaptability coefficient, a yellow moderate abnormality warning will be issued to remind relevant personnel to pay attention to the moderate abnormality and conduct continuous monitoring. At the same time, relevant departments must conduct non-stop re-inspections of each production link.

[0021] B3. If the fluid adaptability coefficient of a certain type of straw for a certain customer is less than 20% of the set threshold, a red severe abnormality warning will be issued to remind relevant personnel to pay attention to the severe abnormality and conduct continuous monitoring. At the same time, relevant departments need to shut down and re-inspect each production link.

[0022] In a second aspect, the present invention provides a production inspection method for beverage straw production, including: step 1, adjusting the inspection equipment: obtaining straw production order information corresponding to each type of straw for each customer of the target straw enterprise, and based on the straw production order information corresponding to each type of straw for each customer, analyzing the appearance inspection equipment configuration and appearance transmission equipment gear corresponding to each type of straw for each customer.

[0023] Step 2: Setting the Fluid Adaptability Coefficient Threshold: After each type of straw for each customer passes the appearance production inspection, obtain the corresponding product fluid characteristics of each type of straw for each customer. Product fluid characteristics include product viscosity, product density, and the corresponding ratios of each component. Analyze and obtain the corresponding product fluid assessment coefficient for each type of straw for each customer, and then set and analyze the corresponding fluid adaptability coefficient threshold for each type of straw for each customer.

[0024] Step 3: Detection warning notification: When each type of straw for each customer undergoes fluid compatibility testing, the fluid compatibility of each type of straw for each customer is determined to be qualified. If the fluid compatibility of a particular type of straw for a particular customer fails, a detection warning notification is issued.

[0025] The beneficial effects of this invention are as follows: 1. In this embodiment, the system automatically adjusts the configuration of appearance inspection equipment and the gear position of transmission equipment based on production order information for different customers and different types of straws. This not only improves the adaptability and flexibility of production equipment, but also ensures that the production requirements of each order are accurately met, reducing human intervention and errors. The automatic extraction and analysis of production order information by natural language processing tools improves the efficiency and accuracy of data processing. The information analysis unit calculates the straw order evaluation coefficient through a formula, providing a scientific basis for equipment configuration and gear position adjustment, reducing errors caused by human judgment.

[0026] 2. This embodiment of the present invention can set appropriate fluid adaptability coefficient thresholds based on the fluid characteristics of each straw type. This ensures that the straws can adapt to different fluids in actual use, thereby improving product applicability and customer satisfaction. By automatically adjusting the gear position of the appearance inspection equipment and the transmission equipment, the system can ensure consistent quality across batches of products and reduce variability in production. Fluid adaptability testing and coefficient setting ensure consistent performance of the straws in different fluid environments, improving overall product quality. The automated and intelligent system reduces manual intervention and labor costs.

[0027] 3. This embodiment of the present invention automatically issues an early warning if a straw fails the fluid compatibility test. This allows problems that arise during the production process to be promptly identified and addressed, reducing defective product rates and potential customer complaints. A graded early warning system, such as orange, yellow, and red, provides different levels of response based on the severity of the problem, ensuring early resolution and minimizing production losses. Timely early warnings and ongoing re-inspections allow for early resolution of issues, minimizing downtime and scrap, and thus reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0029] Figure 1 This is a schematic diagram of the system module connection of the present invention.

[0030] Figure 2 The present invention is a flowchart of the steps for implementing the method. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] The present invention is implemented as follows Figure 1 As shown, a production detection system for beverage straw production includes: a detection equipment adjustment module, a fluid adaptability coefficient threshold setting module, a detection early warning notification module and a database.

[0033] The fluid adaptability coefficient threshold setting module is connected to the detection equipment adjustment module and the detection warning notification module respectively, and the database is connected to the detection equipment adjustment module and the fluid adaptability coefficient threshold setting module respectively.

[0034] Inspection equipment adjustment module: used to obtain the straw production order information corresponding to each type of straw for each customer of the target straw enterprise, and then analyze the appearance inspection equipment configuration and appearance transmission equipment gear corresponding to each type of straw for each customer based on the straw production order information.

[0035] It should be noted that the appearance inspection equipment configuration includes: configuration one, configuration two and configuration three. Among them, configuration one is: one inspection production line is equipped with three inspection cameras, one colorimeter and one surface roughness measuring instrument; configuration two is: one inspection production line is equipped with four inspection cameras, two colorimeter and two surface roughness measuring instruments; configuration three is: one inspection production line is equipped with four inspection cameras, three colorimeter and four surface roughness measuring instruments.

[0036] It should also be noted that the appearance conveyor equipment has three gears: gear 1, gear 2, and gear 3. Gear 1 sets the conveyor belt speed to 0.5 m / s and the straw spacing to 10 cm. Gear 2 sets the conveyor belt speed to 1.0 m / s and the straw spacing to 8 cm. Gear 3 sets the conveyor belt speed to 1.5 m / s and the straw spacing to 6 cm.

[0037] In a specific embodiment, the detection equipment adjustment module further includes an information extraction unit and an information analysis unit.

[0038] The information extraction unit is used to parse the straw production order information corresponding to each type of straw for each customer using a natural language processing tool, and extract the straw order parameters corresponding to each type of straw for each customer. The straw order parameters include order quantity, production time, and product length.

[0039] The information analysis unit is used to analyze the straw order parameters corresponding to each type of straw for each customer, and then obtain the straw order evaluation coefficient corresponding to each type of straw for each customer.

[0040] In another specific embodiment, the analysis obtains the straw order evaluation coefficient corresponding to each type of straw for each customer. The specific analysis process is as follows: the order quantity, production time and product length corresponding to each type of straw for each customer are respectively recorded as Q hk 、W hk and E hk , where h represents the number corresponding to each customer, h = 1, 2...u, u is any integer greater than 2, and k represents the number corresponding to each type of straw, k = 1, 2...m, m is any integer greater than 2. Substitute into the calculation formula:

[0041] In the equation, we can get the straw order evaluation coefficient φ corresponding to each type of straw for each customer. hk , where Q′, W′, and E′ are the standard order quantity, standard production time, and standard product length corresponding to the set straws, respectively; μ1, μ2, and μ3 are the weight factors corresponding to the set straw order quantity, production time, and product length, respectively.

[0042] It should be noted that μ1, μ2, and μ3 are all greater than 0 and less than 1.

[0043] It should also be noted that through the summary of a large amount of research data and experimental data, the standard order quantity, standard production time, and standard product length corresponding to straws are set by professional institutions and research institutions. At the same time, based on the professional knowledge and research of experts in the field, and discussed and confirmed with industry organizations or professional institutions, the experts set the weight factors corresponding to the straw order quantity, production time, and product length based on their own experience and knowledge.

[0044] It should be noted again that the standard order quantity, standard production time, and standard product length are the order quantity threshold, production time threshold, and product length threshold, respectively. For example, the standard order quantity is 500, the standard production time is 8, and the standard product length is 20.

[0045] In another specific embodiment, the appearance inspection equipment configuration corresponding to each type of straw for each customer is analyzed, and the specific analysis process is as follows: the straw order evaluation coefficient corresponding to each type of straw for each customer is compared with the straw order evaluation coefficient interval corresponding to each appearance inspection equipment configuration in the database. If the straw order evaluation coefficient corresponding to a certain type of straw for a certain customer is within the straw order evaluation coefficient interval corresponding to a certain appearance inspection equipment configuration in the database, then the appearance inspection equipment configuration in the database is used as the appearance inspection equipment configuration corresponding to the type of straw for the customer, and the appearance inspection equipment configuration corresponding to each type of straw for each customer is sent to the automation controller through the self-configuration management system. The automation controller receives the command from the configuration management system, thereby adjusting the appearance inspection equipment configuration corresponding to each type of straw for each customer. In this way, the appearance inspection equipment configuration corresponding to each type of straw for each customer is analyzed.

[0046] In another specific embodiment, the appearance transmission equipment gear corresponding to each type of straw for each customer is analyzed, and the specific analysis process is as follows: the straw order evaluation coefficient corresponding to each type of straw for each customer is compared with the straw order evaluation coefficient interval corresponding to each appearance transmission equipment gear in the database. If the straw order evaluation coefficient corresponding to a certain type of straw for a certain customer is within the straw order evaluation coefficient interval corresponding to a certain appearance transmission equipment gear in the database, then the appearance transmission equipment gear in the database is used as the appearance transmission equipment gear corresponding to the type of straw for the customer, and the appearance transmission equipment gear corresponding to each type of straw for each customer is sent to the automation controller through the self-configuration management system. The automation controller receives the command from the configuration management system, thereby adjusting the appearance transmission equipment gear corresponding to each type of straw for each customer. In this way, the appearance transmission equipment gear corresponding to each type of straw for each customer is analyzed.

[0047] In this embodiment of the present invention, the system automatically adjusts the configuration of appearance inspection equipment and the transmission equipment gear position based on production order information for different customers and different straw types. This not only improves the adaptability and flexibility of production equipment, but also ensures that the production requirements of each order are accurately met, reducing human intervention and errors. By automatically extracting and analyzing production order information through natural language processing tools, the efficiency and accuracy of data processing are improved. The information analysis unit calculates the straw order evaluation coefficient using a formula, providing a scientific basis for equipment configuration and gear position adjustment, reducing errors caused by human judgment.

[0048] Fluid adaptability coefficient threshold setting module: This module is used to obtain the corresponding product fluid characteristics of each type of straw for each customer after each type of straw passes the appearance production inspection. The product fluid characteristics include product viscosity, product density, and the corresponding ratios of each component. The module then analyzes the corresponding product fluid assessment coefficient for each type of straw for each customer, and then sets and analyzes the corresponding fluid adaptability coefficient threshold for each type of straw for each customer.

[0049] In a specific embodiment, the analysis obtains the product fluid evaluation coefficient corresponding to each type of straw for each customer. The specific analysis process is as follows: the product viscosity, product density and the proportion of each component corresponding to each type of straw for each customer are respectively recorded as R hk 、T hk and Y hkf , where h represents the number corresponding to each customer, h = 1, 2...u, where u is any integer greater than 2; k represents the number corresponding to each type of straw, k = 1, 2...m, where m is any integer greater than 2; and f represents the number corresponding to each component, f = 1, 2...v, where v is any integer greater than 2. Substitute into the calculation formula:

[0050]

[0051] The product fluid evaluation coefficient corresponding to each type of straw for each customer is obtained. Among them, R', T', and Y' are the standard product viscosity, standard product density, and standard ratio of the ingredients corresponding to the set straw, respectively. They are the weight factors corresponding to the set viscosity of the straw product, the weight factors corresponding to the product density, and the weight factors corresponding to the ingredient ratio.

[0052] It should be noted that Both are greater than 0 and less than 1.

[0053] It should also be noted that through the summary of extensive research and experimental data, professional organizations and research institutions have established standard product viscosity, standard product density, and standard ratios of ingredients for straws. Furthermore, based on the expertise and research of experts in the field, and after discussion and confirmation with industry organizations or professional institutions, the experts set weighting factors for product viscosity, product density, and ingredient ratios based on their own experience and knowledge.

[0054] It should be noted again that the standard product viscosity, standard product density, and standard ratio corresponding to the ingredients are respectively the product viscosity threshold, product density threshold, and ratio threshold corresponding to the ingredients. For example, the standard product viscosity is 10, the standard product density is 0.9, and the standard ratio corresponding to the ingredients is 20.

[0055] In another specific embodiment, the fluid adaptability coefficient threshold corresponding to each type of straw for each customer is set and analyzed. The specific analysis process is as follows: the product fluid evaluation coefficient corresponding to each type of straw for each customer is compared with the product fluid evaluation coefficient interval corresponding to each fluid adaptability coefficient threshold in the database. If the product fluid evaluation coefficient corresponding to a certain type of straw for a certain customer is within the product fluid evaluation coefficient interval corresponding to a certain fluid adaptability coefficient threshold in the database, then the fluid adaptability coefficient threshold in the database is used as the fluid adaptability coefficient threshold corresponding to the type of straw for the customer and is set. In this way, the fluid adaptability coefficient threshold corresponding to each type of straw for each customer is set and analyzed.

[0056] This embodiment of the present invention can set appropriate fluid adaptability coefficient thresholds based on the product fluid characteristics of each straw type. This ensures that the straws can adapt to different fluids in actual use, thereby improving product applicability and customer satisfaction. By automatically adjusting the gear positions of the appearance inspection equipment and transmission equipment, the system can ensure consistent quality across batches of products and reduce variability in production. Fluid adaptability testing and coefficient setting ensure consistent performance of the straws in different fluid environments, improving overall product quality. The automated and intelligent system reduces manual intervention and labor costs.

[0057] Detection and warning notification module: This module is used to determine whether the fluid compatibility of each type of straw for each customer is qualified when the fluid compatibility of each type of straw is tested. It also issues a detection and warning notification when the fluid compatibility of a product corresponding to a certain type of straw for a certain customer is unqualified.

[0058] In a specific embodiment, the determination of whether the fluid compatibility of each type of straw for each customer is qualified is performed as follows: A1. When the fluid compatibility of each type of straw for each customer is tested, a plurality of collection time points are set, and then the flow resistance and flow rate corresponding to each type of fluid at each temperature are collected at each collection time point.

[0059] A2. Record the flow resistance and flow rate of each type of straw in each type of fluid at each temperature for each customer at each collection time point as and Where g represents the number corresponding to each collection time point, g = 1, 2...a, a is any integer greater than 2, i represents the number corresponding to each temperature, i = 1, 2...b, b is any integer greater than 2, z represents the number corresponding to each type of fluid, z = 1, 2...c, c is any integer greater than 2, s represents the number corresponding to each straw, s = 1, 2...d, d is any integer greater than 2. Substitute into the calculation formula: The fluid adaptability coefficient γ corresponding to each type of straw for each customer is obtained. hks , where X′ and F′ are the standard flow resistance and standard flow rate corresponding to the set straw, respectively; ρ1 and ρ2 are the weight factors corresponding to the set straw flow resistance and flow rate, respectively.

[0060] It should be noted that ρ1 and ρ2 are both greater than 0 and less than 1.

[0061] It should also be noted that the standard flow resistance and flow rate for straws were established through the summary of extensive research and experimental data. Furthermore, based on the expertise and research of field experts, and after discussion and confirmation with industry organizations and professional institutions, the weighting factors for the flow resistance and flow rate were set by the experts based on their own experience and knowledge.

[0062] It should be noted again that the standard flow resistance and the standard flow rate are respectively the flow resistance threshold and the flow rate threshold, for example, the standard flow resistance is 100 and the standard flow rate is 5.

[0063] A3. Compare the fluid adaptability coefficient corresponding to each straw of each type of straw for each customer with a set threshold value of the corresponding fluid adaptability coefficient. If the fluid adaptability coefficient corresponding to a certain straw of a certain type of straw for a certain customer is less than the set threshold value of the corresponding fluid adaptability coefficient, then the fluid adaptability corresponding to the straw of that type of straw for that customer is determined to be unqualified. If the fluid adaptability coefficient corresponding to a certain straw of a certain type of straw for that customer is greater than or equal to the set threshold value of the corresponding fluid adaptability coefficient, then the fluid adaptability corresponding to the straw of that type of straw for that customer is determined to be qualified. In this way, whether the fluid adaptability corresponding to each straw of each type of straw for each customer is qualified is determined.

[0064] In another specific embodiment, when the product fluid compatibility of a certain type of straw for a certain customer fails to meet the requirements, a detection warning notification is issued. The specific warning process is as follows: B1. If the fluid compatibility coefficient of a certain type of straw for a certain customer is less than a set threshold of 5% of the corresponding fluid compatibility coefficient, an orange mild abnormality warning is issued to alert relevant personnel to the minor abnormality and to conduct continuous monitoring.

[0065] B2. If the fluid adaptability coefficient corresponding to a certain type of straw of a certain customer is less than 10% of the set threshold value of the corresponding fluid adaptability coefficient, a yellow moderate abnormality warning will be issued to remind relevant personnel to pay attention to the moderate abnormality and conduct continuous monitoring. At the same time, relevant departments must conduct non-stop re-inspections of each production link.

[0066] B3. If the fluid adaptability coefficient of a certain type of straw for a certain customer is less than 20% of the set threshold, a red severe abnormality warning will be issued to remind relevant personnel to pay attention to the severe abnormality and conduct continuous monitoring. At the same time, relevant departments need to shut down and re-inspect each production link.

[0067] This embodiment of the present invention automatically issues an early warning if a straw fails the fluid compatibility test. This allows problems that arise during the production process to be promptly identified and addressed, reducing defective product rates and potential customer complaints. A graded early warning system, such as orange, yellow, and red, provides a different level of response based on the severity of the problem, ensuring that issues are addressed early and minimizing production losses. Timely early warnings and ongoing re-inspections allow for early resolution of issues, minimizing downtime and scrap, and thus reducing production costs.

[0068] The present invention is implemented as follows Figure 2 As shown, a production inspection method for beverage straw production includes: Step 1, adjustment of inspection equipment: obtaining straw production order information corresponding to each type of straw for each customer of the target straw enterprise, and then analyzing the appearance inspection equipment configuration and appearance transmission equipment gear corresponding to each type of straw for each customer based on the straw production order information corresponding to each type of straw for each customer.

[0069] Step 2: Setting the Fluid Adaptability Coefficient Threshold: After each type of straw for each customer passes the appearance production inspection, obtain the corresponding product fluid characteristics of each type of straw for each customer. Product fluid characteristics include product viscosity, product density, and the corresponding ratios of each component. Analyze and obtain the corresponding product fluid assessment coefficient for each type of straw for each customer, and then set and analyze the corresponding fluid adaptability coefficient threshold for each type of straw for each customer.

[0070] Step 3: Detection warning notification: When each type of straw for each customer undergoes fluid compatibility testing, the fluid compatibility of each type of straw for each customer is determined to be qualified. If the fluid compatibility of a particular type of straw for a particular customer fails, a detection warning notification is issued.

[0071] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A production and detection system for beverage straw production, characterized in that: include: Inspection equipment adjustment module: This module is used to obtain the straw production order information corresponding to each type of straw from each customer of the target straw company. Based on this information, the module analyzes the configuration of the appearance inspection equipment and the gear position of the appearance transmission equipment corresponding to each type of straw from each customer. Fluid adaptability coefficient threshold setting module: This module is used to obtain the corresponding product fluid characteristics of each type of straw for each customer after each type of straw passes the appearance production inspection. The product fluid characteristics include product viscosity, product density, and the corresponding ratio of each component. The module then analyzes and obtains the corresponding product fluid evaluation coefficient for each type of straw for each customer, and then sets and analyzes the corresponding fluid adaptability coefficient threshold for each type of straw for each customer. Detection and warning notification module: This module is used to determine whether the fluid compatibility of each type of straw for each customer is qualified when the fluid compatibility of each type of straw is tested. If the fluid compatibility of a particular type of straw for a particular customer fails, a warning notification will be issued. The specific process of judging whether the fluid adaptability of each type of straw for each customer is qualified is as follows: A1. When each type of straw from each customer undergoes fluid compatibility testing, several collection time points are set, and then the flow resistance and flow rate corresponding to each type of fluid at each temperature are collected at each collection time point. A2. Record the flow resistance and flow rate of each type of straw in each type of fluid at each temperature for each customer at each collection time point as and ,in, Indicates the number corresponding to each customer, , u is any integer greater than 2, Indicates the number corresponding to each type of straw, , m is any integer greater than 2, Indicates the number corresponding to each collection time point, , a is any integer greater than 2, Indicates the number corresponding to each temperature, , b is any integer greater than 2, Indicates the number corresponding to each type of fluid, , c is any integer greater than 2, Indicates the number corresponding to each straw, , d is any integer greater than 2, substitute into the calculation formula: The fluid adaptability coefficient corresponding to each type of straw for each customer is obtained. ,in, 、 They are the standard flow resistance and standard flow rate corresponding to the set pipette. 、 They are the weight factors corresponding to the set straw flow resistance and the weight factors corresponding to the flow rate; A3. Compare the fluid adaptability coefficient corresponding to each straw of each type of straw for each customer with a set threshold value of the corresponding fluid adaptability coefficient. If the fluid adaptability coefficient corresponding to a certain straw of a certain type of straw for a certain customer is less than the set threshold value of the corresponding fluid adaptability coefficient, then the fluid adaptability corresponding to the straw of that type of straw for that customer is determined to be unqualified. If the fluid adaptability coefficient corresponding to a certain straw of a certain type of straw for that customer is greater than or equal to the set threshold value of the corresponding fluid adaptability coefficient, then the fluid adaptability corresponding to the straw of that type of straw for that customer is determined to be qualified. In this way, whether the fluid adaptability corresponding to each straw of each type of straw for each customer is qualified is determined.

2. A production and detection system for beverage straw production according to claim 1, characterized in that: The detection equipment adjustment module also includes an information extraction unit and an information analysis unit; The information extraction unit is configured to parse the straw production order information corresponding to each type of straw for each customer using a natural language processing tool, and extract straw order parameters corresponding to each type of straw for each customer, the straw order parameters including order quantity, production time, and product length; The information analysis unit is used to analyze the straw order parameters corresponding to each type of straw for each customer, and then obtain the straw order evaluation coefficient corresponding to each type of straw for each customer.

3. A production and detection system for beverage straw production according to claim 2, characterized in that: The analysis yields the straw order evaluation coefficients corresponding to each type of straw for each customer. The specific analysis process is as follows: The order quantity, production time and product length of each type of straw for each customer are recorded as 、 and ,in, Indicates the number corresponding to each customer, , u is any integer greater than 2, Indicates the number corresponding to each type of straw, , m is any integer greater than 2, substitute into the calculation formula: In the example, we can get the straw order evaluation coefficient corresponding to each type of straw for each customer. ,in, 、 、 They are the standard order quantity, standard production time, and standard product length corresponding to the set straws. 、 、 They are the weight factors corresponding to the set straw order quantity, the weight factor corresponding to the production time, and the weight factor corresponding to the product length.

4. A production and detection system for beverage straw production according to claim 3, characterized in that: The above analysis is carried out on the appearance inspection equipment configuration corresponding to each type of straw for each customer. The specific analysis process is as follows: The straw order evaluation coefficient corresponding to each type of straw for each customer is compared with the straw order evaluation coefficient interval corresponding to each appearance inspection equipment configuration in the database. If the straw order evaluation coefficient corresponding to a certain type of straw for a customer is within the straw order evaluation coefficient interval corresponding to a certain appearance inspection equipment configuration in the database, the appearance inspection equipment configuration in the database will be used as the appearance inspection equipment configuration corresponding to the type of straw for the customer, and the appearance inspection equipment configuration corresponding to each type of straw for each customer will be sent to the automation controller through the self-configuration management system. The automation controller receives the command from the configuration management system, thereby adjusting the appearance inspection equipment configuration corresponding to each type of straw for each customer. In this way, the appearance inspection equipment configuration corresponding to each type of straw for each customer is analyzed.

5. A production and detection system for beverage straw production according to claim 4, characterized in that: The above analysis is carried out on the gear positions of the appearance transmission equipment corresponding to each type of straw for each customer. The specific analysis process is as follows: The straw order evaluation coefficient corresponding to each type of straw for each customer is compared with the straw order evaluation coefficient interval corresponding to each appearance transmission equipment gear in the database. If the straw order evaluation coefficient corresponding to a certain type of straw for a customer is within the straw order evaluation coefficient interval corresponding to a certain appearance transmission equipment gear in the database, the appearance transmission equipment gear in the database will be used as the appearance transmission equipment gear corresponding to this type of straw for the customer, and the appearance transmission equipment gear corresponding to each type of straw for each customer will be sent to the automation controller through the self-configuration management system. The automation controller receives the command from the configuration management system, thereby adjusting the appearance transmission equipment gear corresponding to each type of straw for each customer. In this way, the appearance transmission equipment gear corresponding to each type of straw for each customer is analyzed.

6. A production and detection system for beverage straw production according to claim 1, characterized in that: The analysis yields the product fluid evaluation coefficients corresponding to each type of straw for each customer. The specific analysis process is as follows: The product viscosity, product density and the proportion of each component corresponding to each type of straw for each customer are recorded as 、 and ,in, Indicates the number corresponding to each customer, , u is any integer greater than 2, Indicates the number corresponding to each type of straw, , m is any integer greater than 2, Indicates the number corresponding to each component, , v is any integer greater than 2, substitute into the calculation formula: The product fluid evaluation coefficient corresponding to each type of straw for each customer is obtained. ,in, 、 、 They are the standard product viscosity, standard product density, and standard ratio of the ingredients corresponding to the set straws. 、 、 They are the weight factors corresponding to the set viscosity of the straw product, the weight factors corresponding to the product density, and the weight factors corresponding to the ingredient ratio.

7. A production and detection system for beverage straw production according to claim 6, characterized in that: The fluid adaptability coefficient threshold corresponding to each type of straw for each customer is set and analyzed. The specific analysis process is as follows: The product fluid evaluation coefficient corresponding to each type of straw for each customer is compared with the product fluid evaluation coefficient interval corresponding to each fluid adaptability coefficient threshold in the database. If the product fluid evaluation coefficient corresponding to a certain type of straw for a certain customer is within the product fluid evaluation coefficient interval corresponding to a certain fluid adaptability coefficient threshold in the database, then the fluid adaptability coefficient threshold in the database is used as the fluid adaptability coefficient threshold corresponding to the type of straw for the customer and is set. In this way, the fluid adaptability coefficient threshold corresponding to each type of straw for each customer is set and analyzed.

8. A production and detection system for beverage straw production according to claim 7, characterized in that: When a certain type of straw of a certain customer fails to meet the product fluid compatibility requirements, a warning notification is issued. The specific warning process is as follows: B1. If the fluid adaptability coefficient of a particular straw in a particular customer's straw type is less than the set threshold of 5% for the fluid adaptability coefficient, an orange mild abnormality warning will be issued to alert relevant personnel to the minor abnormality and to conduct continuous monitoring. B2. If the fluid adaptability coefficient of a particular straw in a particular customer's straw type is less than 10% of the set threshold, a yellow moderate abnormality warning will be issued to alert relevant personnel to the moderate abnormality and conduct continuous monitoring. At the same time, relevant departments will conduct non-stop re-inspections of all production links. B3. If the fluid adaptability coefficient of a certain type of straw for a certain customer is less than 20% of the set threshold, a red severe abnormality warning will be issued to remind relevant personnel to pay attention to the severe abnormality and conduct continuous monitoring. At the same time, relevant departments need to shut down and re-inspect each production link.

9. A method for producing and inspecting drinking straws using the production and inspection system for drinking straws according to any one of claims 1 to 8, characterized in that: include: Step 1: Adjusting Inspection Equipment: Obtain straw production order information corresponding to each type of straw from each customer of the target straw company. Based on this information, analyze the configuration of appearance inspection equipment and the gear position of appearance transmission equipment corresponding to each type of straw from each customer. Step 2: Setting Fluid Adaptability Coefficient Thresholds: After each type of straw for each customer passes the appearance production inspection, obtain the corresponding product fluid characteristics of each type of straw for each customer. Product fluid characteristics include product viscosity, product density, and the corresponding ratios of various components. Analyze and obtain the corresponding product fluid evaluation coefficient for each type of straw for each customer. Then, set and analyze the corresponding fluid adaptability coefficient thresholds for each type of straw for each customer. Step 3: Detection warning notification: When each type of straw for each customer undergoes fluid compatibility testing, the fluid compatibility of each type of straw for each customer is determined to be qualified. If the fluid compatibility of a particular type of straw for a particular customer fails, a detection warning notification is issued.

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