A large model-based irradiated food sterilization prediction and management method

CN122536620APending Publication Date: 2026-08-11BEIJING HONGYISIFANG RADIATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-18
Publication Date
2026-08-11

AI Technical Summary

Technical Problem

[0009]本发明提供了一种基于大模型的辐照食品灭菌预测及管理方法,解决了在进行辐照食品灭菌时,通过大模型对待辐照食品进行辐照时长判断,以及结合当前的排产时间,确定完成辐照作业的时间问题,其技术方案如下所述:

Benefits of technology

[0035]The aforementioned method for predicting and managing the sterilization of irradiated food based on a large model, by classifying food in detail and combining parameters such as volume and density with current production scheduling, can predict the sterilization time of food to be irradiated and manage the completion of irradiation operations. This invention improves the efficiency of irradiated food sterilization and facilitates operation management.

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Abstract

This invention provides a method for predicting and managing the sterilization of irradiated food based on a large-scale model, comprising the following steps: S1: Receiving food to be irradiated and determining the type of food and the required irradiation dose; S2: Determining the number of packaging boxes for the food to be irradiated, calculating the volume of the packaging boxes using a volume detection device, calculating the density of the packaging boxes using a quality detection device, and calculating the required number of irradiation boxes using an irradiation box control module; S3: Inputting the number of packaging boxes, the number of irradiation boxes, the type of food to be irradiated, and the density of the packaging boxes as parameters into a large-scale model, and obtaining the required irradiation operation time through the large-scale model; S4: According to the operation time, scheduling the batches of food to be irradiated into the production schedule, arranging for warehousing, and completing handover procedures. This method, by classifying food in detail and combining parameters such as volume and density with current production scheduling management, can predict the sterilization time of food to be irradiated and manage the irradiation operation.
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Description

Technical Field

[0001] This invention relates to the field of irradiated food sterilization, and in particular to a method for predicting and managing irradiated food sterilization based on a large model. Background Technology

[0002] Irradiation sterilization is a method of food sterilization and preservation that uses ionizing radiation (such as the rays produced by cobalt-60 and cesium-137) to sterilize and preserve food. Figure 1 As shown, a radiation source is installed in the irradiation chamber enclosed by a shielded wall. The goods (food) to be irradiated enter the irradiation chamber through the material inlet and outlet of the shielded wall and are irradiated by the radiation source. Sterilization is achieved by destroying the DNA structure of microorganisms, and there is no radioactive residue in the food after treatment. This technology is a physical cold processing method that can kill bacteria and insect eggs without opening the packaging, significantly extending the shelf life of food.

[0003] Currently, for different types of food, when sterilizing food by irradiation, the packaged food is placed in an irradiation box, which then enters the irradiation chamber via an irradiation track. During irradiation, food sterilization must be completed in one go; repeated irradiation can easily affect food quality. The "effective processing time" for irradiation sterilization is usually calculated in minutes. For example, irradiating a box of sealed packaged Chinese medicinal herbs may only require 10 to 30 minutes of equipment operation time.

[0004] However, the actual time taken is determined by three steps:

[0005] First, the nature of the product itself. Different items have different tolerances to radiation. Items with high bacterial content and dense packaging require higher radiation doses and naturally longer treatment times. For example, a thick bag of powdered raw materials will certainly take longer for radiation to penetrate and kill microorganisms than a bag of thin slices of dried vegetables.

[0006] Second, the sterilization target requirements. Is it to achieve "commercial sterility" for export, or simply to reduce the total bacterial count and extend the shelf life? The higher the requirement, the larger the dosage and the longer the sterilization time.

[0007] Third, equipment and process efficiency. Irradiation sterilization is not simply a matter of throwing things in and calling it a day. The initial product loading and dosage verification, and the subsequent release testing, all these processes combined can take anywhere from a few hours to a day or two. However, the actual "irradiation" process in the irradiation chamber is usually only a small part of the entire process.

[0008] Furthermore, different irradiation sources also have an impact. Generally speaking, the longer the irradiation time, the higher the dose, but this is only true if the Curie number is the same. Different irradiation companies use different cobalt source energies. Currently, in the operation of food sterilization by irradiation, the sterilization time is determined by testing. In practice, for different types of food, it relies more on experience. Summary of the Invention

[0009] This invention provides a method for predicting and managing the sterilization of irradiated food based on a large-scale model. It solves the problem of determining the irradiation duration of the food to be irradiated using a large-scale model and, in conjunction with the current production schedule, determining the time to complete the irradiation operation. The technical solution is as follows:

[0010] A method for predicting and managing the sterilization of irradiated food based on a large model includes the following steps:

[0011] S1: Receive the food to be irradiated and determine the type of food to be irradiated and the required irradiation dose;

[0012] S2: Determine the number of packaging boxes for the food to be irradiated, calculate the volume of the packaging boxes using a volume detection device, calculate the density of the packaging boxes using a mass detection device, and calculate the required number of irradiation boxes using an irradiation box control module;

[0013] S3: Input the number of packaging boxes z, the number of irradiation boxes Z, the type of food to be irradiated U, and the density of packaging boxes ρ as parameters into the large model, and obtain the required irradiation operation time T through the large model;

[0014] S4: Based on the operation time T, schedule the batches of food to be irradiated into the production schedule, arrange for them to be put into storage, and complete the handover procedures.

[0015] The volume detection device includes a detection platform and a rotatable measuring light curtain. The detection platform is made of transparent glass. The rotatable measuring light curtain includes an upper light curtain assembly and a lower light curtain assembly arranged opposite each other, and the upper and lower light curtain assemblies can rotate synchronously around the detection platform. The upper light curtain assembly is rectangular and has multiple infrared emitters evenly installed inside. The lower light curtain assembly is rectangular and has multiple infrared receivers evenly installed inside. The upper and lower light curtain assemblies are the same size and shape, arranged opposite each other, and the infrared emitters of the upper light curtain assembly correspond one-to-one with the infrared receivers of the lower light curtain assembly.

[0016] The rotatable measuring light curtain also includes a geared motor, a support frame, a rotary bearing, an upper support arm, and a lower support arm. A horizontal, circular rotating bracket is mounted on the top of the support frame for fixing the rotary bearing. The inner ring of the rotary bearing is fixedly connected to the rotating bracket, and the upper and lower support arms are respectively mounted on opposite ends of the outer ring. The upper support arm is fixedly connected to the upper light curtain assembly.

[0017] The lower support arm is fixedly connected to the lower light curtain assembly; the outer ring of the rotary bearing is provided with external teeth, the geared motor is mounted on the support frame, and the output shaft is provided with a drive gear for driving the external teeth. When the geared motor is running, it can drive the upper light curtain assembly and the lower light curtain assembly to rotate around the detection platform.

[0018] The quality testing device includes a testing platform, a support frame, an installation platform, and a weighing machine. The side of the testing platform is fixedly connected to the installation platform via the support frame, and the bottom of the installation platform is fixedly installed above the weighing machine.

[0019] The quality detection device and the volume detection device share the same detection platform.

[0020] The irradiation box control module calculates the required number of irradiation boxes based on the number of packaging boxes, their volume V, and mass m, according to the volume V1 of the irradiation box and the weight M it can hold. Specifically, the volume calculation involves determining the maximum number of packaging boxes a single irradiation box can hold while meeting the load-bearing requirements of the irradiation box, with each side of the packaging box placed inside. Then, based on the number of packaging boxes, the required number of irradiation boxes is obtained.

[0021] When calculating based on volume, the maximum number of packaging boxes that can be placed in one irradiation chamber is calculated separately when different sides of the packaging box are placed inside the irradiation chamber. This includes the following steps:

[0022] (1) When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, the first placement quantity A13 is obtained;

[0023] (2) When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the height of the irradiation box, the second placement quantity B13 can be obtained;

[0024] (3) When the length of the packaging box is matched with the width of the irradiation box, and the width of the packaging box is matched with the length of the irradiation box, the third placement quantity C13 can be obtained;

[0025] (4) When the length of the packaging box matches the width of the irradiation box and the width of the packaging box matches the height of the irradiation box, the fourth placement quantity D13 can be obtained;

[0026] (5) When the length of the packaging box is matched with the height of the irradiation box and the width of the packaging box is matched with the length of the irradiation box, the fifth placement quantity E13 can be obtained;

[0027] (6) When the length of the packaging box matches the height of the irradiation box and the width of the packaging box matches the width of the irradiation box, the sixth placement quantity F13 can be obtained;

[0028] Based on the first placement quantity A13, the second placement quantity B13, the third placement quantity C13, the fourth placement quantity D13, the fifth placement quantity E13, and the sixth placement quantity F13 obtained above, select the maximum value as the number of packaging boxes that can be placed in the irradiation box, and determine the arrangement of the packaging boxes.

[0029] When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, the first placement quantity A13 is obtained, which includes the following: when the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, calculate the number of packaging boxes that can be filled in one layer A1 and the number of layers that can be filled B1 to obtain the theoretical number of packaging boxes that can be placed A11. Based on the weight M that the irradiation box can hold, obtain the maximum number of packaging boxes A12. Select the minimum value between the theoretical number A11 and the maximum number A12 as the first placement quantity A13.

[0030] The self-learning training of the large-scale irradiation model includes the following steps:

[0031] S11: Based on historical data of food sterilization by irradiation, standard data is generated through preprocessing to obtain an irradiation model database;

[0032] S12: Using standard data, generate a large-scale irradiation model to calculate the irradiation operation time T=f(type U, number of packing boxes z, number of irradiation boxes Z, packing box density ρ);

[0033] S13: After each irradiation session, the irradiation effect is manually checked and the irradiation parameters are adjusted.

[0034] The packaging box density ρ is the density state that the food to be irradiated presents together with the packaging box body when the food is placed inside the packaging box. The adjustment of the irradiation parameters is based on the packaging box density ρ. If the irradiation effect reaches the set standard, then when the packaging box density ρ1 of the same type of food to be irradiated is greater than ρ, it means that there is more food to be irradiated and a longer irradiation time t2 is required, and vice versa.

[0035] The aforementioned method for predicting and managing the sterilization of irradiated food based on a large model, by classifying food in detail and combining parameters such as volume and density with current production scheduling, can predict the sterilization time of food to be irradiated and manage the completion of irradiation operations. This invention improves the efficiency of irradiated food sterilization and facilitates operation management. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the irradiation food sterilization process.

[0037] Figure 2 This is a flowchart illustrating the method for predicting and managing the sterilization of irradiated food based on a large model.

[0038] Figure 3 This is a schematic diagram of the volume detection device;

[0039] Figure 4 This is a schematic diagram of the structure of the quality testing device;

[0040] Figure 5 This is a schematic diagram showing the infrared emitter of the light curtain assembly illuminating the upper surface of the packaging box. Detailed Implementation

[0041] like Figure 1 As shown, the method for predicting and managing the sterilization of irradiated food based on a large model includes the following steps:

[0042] S1: Receive the food to be irradiated and determine the type of food to be irradiated and the required irradiation dose;

[0043] Foods to be irradiated can be mainly divided into the following three categories, which are mainly distinguished according to the purpose of irradiation, the required dose, and the characteristics of the food itself:

[0044] 1. Fruits and vegetables;

[0045] Purpose of irradiation: Primarily to prevent spoilage caused by microorganisms, control the infection and spread of pests, and delay the ripening period of fruits and vegetables and prevent aging (such as inhibiting sprouting). Common foods affected: Fresh fruits, vegetables, garlic, potatoes, onions, etc.

[0046] 2. Grains;

[0047] Purpose of irradiation: The core purpose is to prevent or reduce spoilage caused by insect damage and mold activity, thus achieving the effects of insecticidal and mold-killing. Common foods affected: Grains, beans, and their products, etc.

[0048] 3. Livestock, poultry, and aquatic products;

[0049] Purpose of irradiation: To kill pathogenic and spoilage bacteria and extend shelf life. For these types of foods, irradiation usually needs to be combined with heat treatment or low-temperature refrigeration to achieve the best preservation and sterilization effect. Common foods include: frozen packaged meats, cooked meats, fish, shrimp, shellfish, and other aquatic products.

[0050] In addition, spices, seasonings, dehydrated vegetables, eggs, and some health foods (such as slimming teas and pollen products) are also common targets for irradiation sterilization technology. Irradiation treatment of these foods effectively controls insect infestation, significantly reduces the number of microorganisms, and preserves their original flavor and quality.

[0051] Furthermore, the required irradiation dose varies greatly among different foods, primarily depending on the purpose of irradiation (whether it's merely for insecticidal purposes and preservation, or for the complete eradication of pathogens) and the characteristics of the food itself. According to my country's current GB14891 series of hygiene standards, the specific irradiation dose limits for various types of food are as follows:

[0052] 1. Grains and fruits and vegetables (mainly in low doses);

[0053] Irradiation of these foods is primarily for inhibiting sprouting, killing insects, and delaying ripening; therefore, the required dose is minimal. Fresh fruits and vegetables (such as potatoes, onions, and garlic): ≤ 1.5 kGy; legumes: ≤ 0.2 kGy; grains and their products: 0.4 -0.6 kGy.

[0054] 2. Meat, poultry, and dried fruits (mainly in low to medium doses);

[0055] The primary purpose of irradiating these foods is to kill specific parasites (such as Trichinella spiralis in pork), pathogenic bacteria (such as Salmonella), or control microorganisms in dried fruits. Pork (inactivated Trichinella spiralis): 0.65 kGy; Frozen packaged meats (pork, beef, lamb, chicken, duck, etc.): ≤ 2.5 kGy; Dried fruits and preserves (such as longan, red dates, walnuts, etc.): 0.4 - 1.0 kGy;

[0056] 3. Cooked foods and spices (mainly in medium to high doses);

[0057] Due to differences in moisture content, initial bacterial count, or processing characteristics, these types of foods have relatively high permissible irradiation doses. Cooked meats (such as roast chicken, roast duck, cooked beef, etc.): ≤ 8.0 kGy; pollen: 8.0 kGy; spices (such as pepper powder, five-spice powder, etc.): ≤ 10.0 kGy;

[0058] For a more intuitive comparison, please refer to the table below:

[0059]

[0060] Generally speaking, the cumulative radiation dose to irradiated food should not exceed 10 kGy. Food irradiated within this dose range is safe, will not produce radioactive residues, and will not significantly damage its nutritional value.

[0061] S2: Determine the number of packaging boxes for the food to be irradiated, calculate the volume of the packaging boxes using a volume detection device, calculate the density of the packaging boxes using a mass detection device, and calculate the required number of irradiation boxes using an irradiation box control module;

[0062] The food to be irradiated is usually packaged in boxes. During irradiation, multiple boxes need to be placed inside an irradiation box, which is then placed on an irradiation track and enters the irradiation chamber for sterilization. Considering the limited volume and weight-bearing capacity of the irradiation box, the boxes need to be arranged strategically.

[0063] Furthermore, the number of times food enters the irradiation chamber after being placed inside is not arbitrarily determined, but rather by the operating mode of the irradiation equipment and the process parameters required to achieve the predetermined sterilization dose. Specifically, it mainly depends on the following two situations:

[0064] (1) The operation mode of irradiation equipment: According to the national standard (GB 16334—1996), irradiation devices are mainly divided into two categories according to their operation mode: static and dynamic. This directly determines the form in which food "enters" and "exits" the irradiation chamber:

[0065] Static batch irradiation: After the product is loaded into the irradiation box, it is sent to a fixed position in the irradiation chamber all at once. During the irradiation process, both the radiation source and the product remain stationary until the predetermined time is reached, after which they are removed from the irradiation chamber all at once. In this case, usually only one entry and one exit are required.

[0066] Dynamic continuous irradiation: After the product is loaded into the irradiation chamber, it passes through the radiation field continuously at a certain speed via a conveyor system. The process from entering the irradiation chamber to leaving is continuous.

[0067] Dynamic step-by-step irradiation: This is a form between the two. After the product is sent into the irradiation chamber, it stays at the first station for a certain period of time, then moves to the next station and stays there for the same amount of time, and so on, until it is finally sent out of the irradiation chamber.

[0068] (2) The process requirements for sterilization dosage, how long the food needs to be irradiated and whether it needs to be treated "multiple times", are all aimed at ensuring that the absorbed dosage meets the standards:

[0069] Single-pass sterilization: In most cases, by precisely calculating the transmission speed, radiation source intensity, or residence time, food can achieve the required sterilization dose (e.g., the dose to kill pathogens or extend shelf life) in a single complete irradiation process, without the need for repeated entry and exit.

[0070] Repeated irradiation: In certain special circumstances, food may be irradiated multiple times. This is usually to achieve specific processing effects or because the dose of a single irradiation is limited. However, according to my country's "Regulations on the Hygiene Management of Irradiated Food" and internationally accepted standards, food generally should not be repeatedly irradiated.

[0071] Exceptions: Only a few specific foods are permitted to be repeatedly irradiated, such as low-moisture foods (e.g., grains, beans, dehydrated foods) used for pest control, or foods made from raw materials irradiated with low doses (less than 1 kGy). Even so, the total cumulative absorbed dose should generally not exceed 10 kGy.

[0072] It is evident that the number of times food enters the irradiation chamber is a standardized process pre-set by the irradiation plant based on the food's target sterilization dose, packaging density, and the irradiation equipment used (static, continuous, or step-by-step). In conventional production, after food is placed in the irradiation chamber, it typically only needs to undergo one complete irradiation process to complete sterilization.

[0073] However, the number of packaging boxes and the type of food will require different irradiation times during this process. Therefore, how to effectively and efficiently arrange the packaging boxes inside the irradiation box is a problem that needs to be considered.

[0074] like Figure 3 As shown, the volume detection device includes a detection platform 1 and a rotatable measuring light curtain. The detection platform 1 is made of transparent glass. The rotatable measuring light curtain includes a geared motor 6, a support frame 2, a rotary bearing 4, an upper support arm 7, a lower support arm 9, an upper light curtain assembly 8, and a lower light curtain assembly 10.

[0075] The top of the support frame 2 is provided with a horizontal rotating bracket 3, which is circular and used to fix and install the rotating bearing 4.

[0076] The inner ring of the rotary bearing 4 is fixedly connected to the rotary bracket 3, and the upper support arm 7 and the lower support arm 9 are respectively installed at opposite ends of the outer ring.

[0077] The upper support arm 7 is fixedly connected to the upper light curtain assembly 8, which is rectangular and has multiple infrared emitters evenly installed inside.

[0078] The lower support arm 9 is fixedly connected to the lower light curtain assembly 10. The lower light curtain assembly 10 is rectangular and has multiple infrared receivers evenly installed inside.

[0079] The upper light curtain assembly 9 and the lower light curtain assembly 10 are the same in shape and size, arranged opposite to each other, and the infrared emitter of the upper light curtain assembly corresponds one-to-one with the infrared receiver of the lower light curtain assembly.

[0080] The outer ring of the rotary bearing 4 is provided with external teeth 5. The geared motor 6 is mounted on the support frame 2, and the output shaft is provided with a drive gear for driving the external teeth 5. When the geared motor 6 runs, it can drive the upper light curtain assembly 9 and the lower light curtain assembly 10 to rotate around the detection platform 1 for one revolution.

[0081] The upper and lower light curtain components form a light curtain, where an infrared emitter emits multiple rows of dense, modulated infrared beams, which are received by an infrared receiver on the opposite side. These infrared beams form a dense "grating". Figure 5 As shown, initially, the upper light curtain assembly and the lower light curtain assembly are arranged vertically. When the infrared light emitted by the infrared emitter illuminates the upper surface of the packaging box 100, some of the light cannot be received by the infrared receiver below. This is used to collect the top view shape of the packaging box of the detection platform, thereby enabling the length l and width d of the packaging box 100 to be depicted.

[0082] By controlling the rotation of the upper and lower light curtain components, the height h of the packaging box can be collected when the rotation reaches 90 degrees. The data of length, width, and height are sent to the server. Based on the number and position of the blocked light beams, the server can quickly calculate the outline dimensions of the packaging box in that direction, thus obtaining the volume V of the packaging box 100.

[0083] like Figure 4 As shown, the quality inspection device includes an inspection platform 1, a support frame 11, an installation platform 12, and a weighing machine (electronic scale) 13. The inspection platform 1 can be the inspection platform 1 of a volume inspection device. The side of the inspection platform 1 is fixedly connected to the installation platform 12 through the support frame 11, and the bottom of the installation platform 12 is fixedly installed above the weighing machine 13.

[0084] The support frame 11 is arranged vertically, while the detection platform 1 and the installation platform 12 are arranged horizontally. Initially, the weighing machine 13 measures the first mass M1 of the detection platform 1, the support frame 11, and the installation platform 12. When the packaging box is placed on the detection platform 1, the second mass M2 of the detection platform 1, the support frame 11, the installation platform 12, and the packaging box 100 can be obtained. By subtracting the first mass M1 from the second mass M2, the mass m of the packaging box 100 can be obtained.

[0085] Furthermore, the support frame 11 is configured in a way that does not affect the rotational movement of the upper light curtain assembly and the lower light curtain assembly.

[0086] Based on the above, since similar types of food products typically use the same packaging boxes, the packaging box and the food product can be considered as a single unit. The density ρ of the packaging box can be obtained using its volume V and mass m.

[0087] Next, the required number of irradiation boxes needs to be calculated through the irradiation box control module. The irradiation box control module calculates the number of irradiation boxes needed based on the number of packaging boxes, the volume V and mass m of the packaging boxes, the volume V1 of the irradiation box, and the weight M that it can hold.

[0088] The calculation steps are as follows:

[0089] (1) When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, calculate the number of packaging boxes that can be filled in one layer, A1, and the number of layers that can be filled, and obtain the theoretical number of packaging boxes that can be placed, A11. Based on the weight M that the irradiation box can hold, obtain the maximum number of packaging boxes, A12. Select the minimum value between the theoretical number A11 and the maximum number A12 as the first placement number, A13.

[0090] Based on the length L of the irradiation chamber's internal volume and the length l of the packaging box, determine the number of packaging boxes that can be placed, X1; based on the width D of the irradiation chamber's internal volume and the width d of the packaging box, determine the number of packaging boxes that can be placed, X2; when the length of the packaging box matches the length of the irradiation chamber, calculate the number of packaging boxes that can be placed in one layer, A1 = the product of X1 and X2. Based on the height H of the irradiation chamber and the height h of the packaging box, calculate the number of layers that can be placed, B1 = H / h, and obtain the theoretical number of packaging boxes that can be placed, A11.

[0091] Furthermore, based on the mass m of the packaging box, determine the maximum number A12 that can be placed, thus obtaining the placement quantity A13.

[0092] Similarly, based on the above, we can calculate the number of boxes that can be placed inside the irradiation chamber when different sides of the packaging box are placed. When calculating the number, choose an integer. For example, if the length of the irradiation chamber is 2m and the length of the packaging box is 0.3m, then the number will be 6.

[0093] (7) When the length of the packaging box is matched with the length of the irradiation box and the width of the packaging box is matched with the height of the irradiation box, the second placement quantity B13 can be obtained.

[0094] (8) When the length of the packaging box is matched with the width of the irradiation box, and the width of the packaging box is matched with the length of the irradiation box, the third placement quantity C13 can be obtained.

[0095] (9) When the length of the packaging box is matched with the width of the irradiation box and the width of the packaging box is matched with the height of the irradiation box, the fourth placement quantity D13 can be obtained.

[0096] (10) When the length of the packaging box is matched with the height of the irradiation box and the width of the packaging box is matched with the length of the irradiation box, the fifth placement quantity E13 can be obtained.

[0097] (11) When the length of the packaging box is matched with the height of the irradiation box and the width of the packaging box is matched with the width of the irradiation box, the sixth placement quantity F13 can be obtained.

[0098] Based on the first placement quantity A13, the second placement quantity B13, the third placement quantity C13, the fourth placement quantity D13, the fifth placement quantity E13, and the sixth placement quantity F13 obtained above, the maximum value is selected as the number of packaging boxes that can be placed in the irradiation box. The arrangement of the packaging boxes is determined, and based on the number of packaging boxes z, the required number of irradiation boxes Z is obtained.

[0099] The remaining packaging boxes, which are not enough to fill a single irradiation box, are still counted as one irradiation box.

[0100] S3: Input the number of packaging boxes z, the number of irradiation boxes Z, the type of food to be irradiated U, and the density of packaging boxes ρ as parameters into the large model, and obtain the required irradiation operation time T through the large model;

[0101] The large model's data source is based on previous irradiation data, which is then trained to obtain the computational model.

[0102] The operation time T includes three parts: loading time t1, irradiation time t2, and unloading time t3. The loading time t1 refers to the time when the packaging box is placed into the irradiation box, the irradiation time t2 refers to the time when the food to be irradiated is sterilized by irradiation in the irradiation chamber, and the unloading time t3 refers to the time when the packaging box is unloaded from the irradiation box.

[0103] The loading time t1 and unloading time t3 are related to the number of packaging boxes z, and the irradiation time t2 is related to the capacity of the irradiation chamber and the type of food U to be irradiated. The packaging box density ρ is used as a verification reference.

[0104] S4: Based on the operation time T, schedule the batches of food to be irradiated into the production schedule, arrange for them to be put into storage, and complete the handover procedures.

[0105] Once the information of the food to be irradiated is determined, and there are other goods awaiting irradiation treatment ahead of it, a production schedule can be arranged to determine the completion time of this batch of food to be irradiated, and to arrange for it to be put into storage until it undergoes irradiation sterilization treatment.

[0106] According to the production schedule, when the irradiation operation begins, the batch of food to be irradiated is taken out of the warehouse, and the packaging boxes are placed into the irradiation box by a palletizing robot. The irradiation box is then placed into the irradiation chamber via the irradiation track. After the irradiation operation, the packaging boxes are taken out of the irradiation box by the palletizing robot again, thus completing the sterilization process of the irradiated food.

[0107] The self-learning training of the large-scale irradiation model includes the following steps:

[0108] S11: Based on historical data of food sterilization by irradiation, standard data is generated through preprocessing to obtain an irradiation model database;

[0109] The obtained standard data includes the type and quantity of irradiated food, irradiation time, loading time, unloading time, packaging box volume, and packaging box weight, and a corresponding irradiation model database is constructed based on the type of food to be irradiated.

[0110] Meanwhile, with the data verified and perfected, the "initial microbiological indicators of the food to be irradiated" and the "irradiation time period" are added, because the sterilization dose required is directly related to the initial colony count (the more initial colonies, the higher the sterilization dose required).

[0111] S12: Using standard data, generate a large-scale irradiation model to calculate the irradiation operation time T=f(type U, number of packing boxes z, number of irradiation boxes Z, packing box density ρ);

[0112] The large model's data is refined through subsequent irradiation operations on the food to be irradiated for sterilization. It can also determine the irradiation operation time T based on the initial information of the food to be irradiated. Furthermore, the operation time T includes three parts: loading time t1, irradiation time t2, and unloading time t3. Loading time t1 refers to the time it takes to place the packaging box into the irradiation chamber; irradiation time t2 refers to the time the food to be irradiated undergoes sterilization in the irradiation chamber; and unloading time t3 refers to the time it takes to unload the packaging box from the irradiation chamber.

[0113] S13: After each irradiation session, the irradiation effect is manually checked and the irradiation parameters are adjusted.

[0114] The actual "irradiation deviation data" is fed back to the large model to enable self-iteration and parameter improvement. The packaging box density ρ is the density state presented by the food to be irradiated inside the packaging box and the box itself. The adjustment of irradiation parameters is based on the packaging box density ρ. If the irradiation effect reaches the set standard, then when the packaging box density ρ1 of the same type of food to be irradiated is larger, it means that there is more food to be irradiated and a longer irradiation time t2 is required, and vice versa.

[0115] The aforementioned method for predicting and managing the sterilization of irradiated food based on a large model, by classifying food in detail and combining parameters such as volume and density with current production scheduling, can predict the sterilization time of food to be irradiated and manage the completion of irradiation operations. This invention improves the efficiency of irradiated food sterilization and facilitates operation management.

Claims

1. A method for predicting and managing the sterilization of irradiated food based on a large model, comprising the following steps: S1: Receive the food to be irradiated and determine the type of food to be irradiated and the required irradiation dose; S2: Determine the number of packaging boxes for the food to be irradiated, calculate the volume of the packaging boxes using a volume detection device, calculate the density of the packaging boxes using a mass detection device, and calculate the required number of irradiation boxes using an irradiation box control module; S3: Input the number of packaging boxes z, the number of irradiation boxes Z, the type of food to be irradiated U, and the density of packaging boxes ρ as parameters into the large model, and obtain the required irradiation operation time T through the large model; S4: Based on the operation time T, schedule the batches of food to be irradiated into the production schedule, arrange for them to be put into storage, and complete the handover procedures.

2. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 1, characterized in that: The volume detection device includes a detection platform and a rotatable measuring light curtain. The detection platform is made of transparent glass. The rotatable measuring light curtain includes an upper light curtain assembly and a lower light curtain assembly arranged opposite each other, and the upper and lower light curtain assemblies can rotate synchronously around the detection platform. The upper light curtain assembly is rectangular and has multiple infrared emitters evenly installed inside. The lower light curtain assembly is rectangular and has multiple infrared receivers evenly installed inside. The upper and lower light curtain assemblies are the same size and shape, arranged opposite each other, and the infrared emitters of the upper light curtain assembly correspond one-to-one with the infrared receivers of the lower light curtain assembly.

3. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 2, characterized in that: The rotatable measuring light curtain also includes a geared motor, a support frame, a rotary bearing, an upper support arm, and a lower support arm. A horizontal, circular rotating bracket is mounted on the top of the support frame for fixing the rotary bearing. The inner ring of the rotary bearing is fixedly connected to the rotating bracket, and the upper and lower support arms are respectively mounted on opposite ends of the outer ring. The upper support arm is fixedly connected to the upper light curtain assembly. The lower support arm is fixedly connected to the lower light curtain assembly; the outer ring of the rotary bearing is provided with external teeth, the geared motor is mounted on the support frame, and the output shaft is provided with a drive gear for driving the external teeth. When the geared motor is running, it can drive the upper light curtain assembly and the lower light curtain assembly to rotate around the detection platform.

4. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 1, characterized in that: The quality testing device includes a testing platform, a support frame, an installation platform, and a weighing machine. The side of the testing platform is fixedly connected to the installation platform via the support frame, and the bottom of the installation platform is fixedly installed above the weighing machine.

5. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 4, characterized in that: The quality detection device and the volume detection device share the same detection platform.

6. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 1, characterized in that: The irradiation box control module calculates the required number of irradiation boxes based on the number of packaging boxes, their volume V, and mass m, according to the volume V1 of the irradiation box and the weight M it can hold. Specifically, the volume calculation involves determining the maximum number of packaging boxes a single irradiation box can hold while meeting the load-bearing requirements of the irradiation box, with each side of the packaging box placed inside. Then, based on the number of packaging boxes, the required number of irradiation boxes is obtained.

7. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 6, characterized in that: When calculating based on volume, the maximum number of packaging boxes that can be placed in one irradiation chamber is calculated separately when different sides of the packaging box are placed inside the irradiation chamber. This includes the following steps: (1) When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, the first placement quantity A13 is obtained; (2) When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the height of the irradiation box, the second placement quantity B13 can be obtained; (3) When the length of the packaging box is matched with the width of the irradiation box, and the width of the packaging box is matched with the length of the irradiation box, the third placement quantity C13 can be obtained; (4) When the length of the packaging box matches the width of the irradiation box and the width of the packaging box matches the height of the irradiation box, the fourth placement quantity D13 can be obtained; (5) When the length of the packaging box is matched with the height of the irradiation box and the width of the packaging box is matched with the length of the irradiation box, the fifth placement quantity E13 can be obtained; (6) When the length of the packaging box matches the height of the irradiation box and the width of the packaging box matches the width of the irradiation box, the sixth placement quantity F13 can be obtained; Based on the first placement quantity A13, the second placement quantity B13, the third placement quantity C13, the fourth placement quantity D13, the fifth placement quantity E13, and the sixth placement quantity F13 obtained above, select the maximum value as the number of packaging boxes that can be placed in the irradiation box, and determine the arrangement of the packaging boxes.

8. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 7, characterized in that: When the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, the first placement quantity A13 is obtained, which includes the following: when the length of the packaging box matches the length of the irradiation box and the width of the packaging box matches the width of the irradiation box, calculate the number of packaging boxes that can be filled in one layer A1 and the number of layers that can be filled B1 to obtain the theoretical number of packaging boxes that can be placed A11. Based on the weight M that the irradiation box can hold, obtain the maximum number of packaging boxes A12. Select the minimum value between the theoretical number A11 and the maximum number A12 as the first placement quantity A13.

9. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 1, characterized in that: The self-learning training of the large-scale irradiation model includes the following steps: S11: Based on historical data of food sterilization by irradiation, standard data is generated through preprocessing to obtain an irradiation model database; S12: Using standard data, generate a large-scale irradiation model to calculate the irradiation operation time T=f(type U, number of packing boxes z, number of irradiation boxes Z, packing box density ρ); S13: After each irradiation session, the irradiation effect is manually checked and the irradiation parameters are adjusted.

10. The method for predicting and managing the sterilization of irradiated food based on a large model according to claim 9, characterized in that: The packaging box density ρ is the density state that the food to be irradiated presents together with the packaging box body when the food is placed inside the packaging box. The adjustment of the irradiation parameters is based on the packaging box density ρ. If the irradiation effect reaches the set standard, then when the packaging box density ρ1 of the same type of food to be irradiated is greater than ρ, it means that there is more food to be irradiated and a longer irradiation time t2 is required, and vice versa.