A fresh food cold chain warehouse storage goods location management method and device

Abstract

This application discloses a method and apparatus for managing storage locations in a fresh food cold chain warehouse. The method includes: determining the corresponding ethylene sensitivity level based on the category identification information of the fresh goods already stored; identifying ethylene-emitting source goods and ethylene-sensitive goods based on the ethylene sensitivity level, and calculating the safe distance between the ethylene-emitting source goods and the ethylene-sensitive goods; when the inventory proportion of ethylene-emitting source goods exceeds a preset proportion, generating a storage location adjustment instruction based on the safe distance; and adjusting the storage location layout of the ethylene-emitting source goods and the ethylene-sensitive goods in response to the storage location adjustment instruction, so that the actual distance between them is greater than or equal to the safe distance. This application establishes a mapping model between ethylene sensitivity level and safe distance, transforming the ethylene characteristics of goods into spatial layout constraints for storage location management. This overcomes the cross-ripening problem caused by fixed storage locations in existing technologies, improving the rationality of cold chain warehouse goods layout.

Description

Technical Field

[0001] This application relates to the field of cold chain logistics warehousing management technology, and in particular to a method and apparatus for managing fresh food cold chain storage locations. Background Technology

[0002] Fresh food cold chain warehousing is a low-temperature facility used to store perishable fresh goods. It is equipped with refrigeration systems and shelving equipment and is widely used in the fields of fruits and vegetables, meat, aquatic products, and dairy products. During the warehousing process, the layout of the storage locations is crucial to ensuring the quality of the goods; the rationality of the storage location planning directly affects the preservation effect and storage safety of the goods.

[0003] Because different fresh produce exhibit significantly different ethylene characteristics, existing solutions typically employ fixed storage locations or simple categorization. However, ethylene-emitting products (such as ripe apples and bananas) actively release ethylene gas, accelerating the ripening and aging of surrounding sensitive products (such as leafy greens and broccoli), leading to cross-ripening and quality deterioration, and affecting the quality of stored goods.

[0004] The information disclosed in this background section is included only to enhance the understanding of the context of this disclosure, and therefore may contain information that does not constitute relevant technology currently known to those skilled in the art. Summary of the Invention

[0005] This application provides a method and apparatus for managing the storage locations of fresh cold chain warehouses, in order to solve the problems of cross-ripening, quality deterioration and unreasonable utilization of storage space caused by mixing goods with different ethylene properties in fixed storage locations in the prior art.

[0006] The technical solution adopted in this application is as follows: Firstly, this application provides a method for managing fresh food cold chain storage locations, the method comprising: Based on the category identification information of the fresh goods that have been put into storage, determine the corresponding ethylene sensitivity level; Based on the ethylene sensitivity level, goods classified as ethylene release source goods and ethylene sensitive goods are identified, and the safe distance between them is calculated. Among them, ethylene release source goods are fresh goods that actively release ethylene, and ethylene sensitive goods are fresh goods whose quality deteriorates when the ethylene concentration exceeds their ethylene tolerance threshold. When the inventory of ethylene emission source goods is detected to exceed the preset ratio, a storage location adjustment instruction is generated based on the safety distance. In response to a cargo location adjustment instruction, the cargo location layout of ethylene emission source cargo and ethylene sensitive cargo is adjusted so that the actual distance between them is greater than or equal to the safe distance.

[0007] This application establishes a mapping relationship between ethylene sensitivity levels and safe distances, transforming the ethylene characteristics of goods into spatial layout constraints for cargo location management. This overcomes the cross-ripening problem caused by fixed-location storage in existing technologies, improves the rationality of cold chain warehouse cargo layout, and effectively avoids quality deterioration of ethylene-sensitive goods.

[0008] In conjunction with the first aspect, in one optional implementation, the corresponding ethylene sensitivity level is determined based on the category identification information of the fresh produce already in storage, including: Obtain category identification information for fresh produce, which should include at least the product type and maturity level. Based on the cargo type identifier, the preset ethylene sensitivity classification database is queried to determine the initial sensitivity level. The ethylene sensitivity classification database stores the mapping relationship between cargo types and ethylene sensitivity levels. The initial sensitivity level is corrected based on the maturity indicator to obtain the target ethylene sensitivity level.

[0009] In conjunction with the first aspect, in one optional implementation, the initial sensitivity level is corrected based on the maturity indicator to obtain the target ethylene sensitivity level, including: If the cargo type identifier matches the climacteric fruit identifier, and the maturity identifier is in the mature stage or the post-ripening stage, then the target ethylene sensitivity level is set to the preset high level, and the preset high level corresponds to ethylene release source cargo. Otherwise, the initial sensitivity level will be used as the target ethylene sensitivity level.

[0010] In conjunction with the first aspect, in one optional implementation, the safe distance between ethylene-releasing source cargo and ethylene-sensitive cargo is calculated, including: The corresponding safety distance is determined based on the ethylene tolerance threshold of ethylene-sensitive goods; among them, the lower the ethylene tolerance threshold of fresh goods, the greater the corresponding safety distance.

[0011] In conjunction with the first aspect, in one optional implementation, the corresponding safety distance is determined based on the ethylene tolerance threshold of ethylene-sensitive goods, including: Obtain the ethylene release rate and cold storage airflow organization parameters of ethylene release source goods; Based on the ethylene release rate and cold storage airflow organization parameters, the ethylene concentration distribution field around ethylene release source goods was calculated. Based on the ethylene concentration distribution field and the ethylene tolerance threshold of ethylene-sensitive goods, the safe distance between ethylene release source goods and ethylene-sensitive goods is determined.

[0012] In conjunction with the first aspect, in one alternative implementation, in response to a cargo location adjustment instruction, the cargo location layout for ethylene release source cargo and ethylene-sensitive cargo is adjusted, including: Ethylene-sensitive goods will be moved to a new storage location that meets safety distance requirements. Alternatively, ethylene-releasing cargo can be transferred to a separate, isolated area.

[0013] In conjunction with the first aspect, in one alternative implementation, after adjusting the storage location layout of ethylene release source goods and ethylene-sensitive goods, the following is also included: Obtain the adjusted environmental feedback parameters, which should include at least the real-time ethylene concentration around ethylene-sensitive goods; When the real-time ethylene concentration exceeds the ethylene tolerance threshold for ethylene-sensitive goods, the safety distance is recalculated and a secondary cargo location adjustment instruction is generated.

[0014] In conjunction with the first aspect, in one optional implementation, before determining the corresponding ethylene sensitivity level based on the category identification information of the fresh produce already in storage, the following steps are also included: Establish an ethylene sensitivity grading database, including: Ethylene release rate and ethylene tolerance threshold of various fresh produce under various preset conditions were collected. Based on ethylene release rate and ethylene tolerance threshold, a mapping relationship between cargo type and ethylene sensitivity level is established, as well as a correction rule for ethylene sensitivity level based on maturity indicator. The mapping relationship and correction rules are stored in the ethylene sensitivity classification database, and the ethylene sensitivity classification database is updated according to a preset period.

[0015] Secondly, this application provides a fresh food cold chain storage location management device, the device comprising: The cargo classification module is used to determine the corresponding ethylene sensitivity level based on the category identification information of fresh goods that have been put into storage. The distance calculation module is used to determine the ethylene release source goods and the ethylene sensitive goods based on the ethylene sensitivity level, and to calculate the safe distance between the ethylene release source goods and the ethylene sensitive goods; wherein, the ethylene release source goods are fresh goods that actively release ethylene, and the ethylene sensitive goods are fresh goods whose quality deteriorates when the ethylene concentration exceeds their ethylene tolerance threshold. The trigger judgment module is used to generate a storage location adjustment instruction based on a safe distance when the inventory ratio of ethylene release source goods is detected to exceed a preset ratio. The layout adjustment module is used to adjust the storage layout of ethylene release source goods and ethylene sensitive goods in response to storage location adjustment instructions, so that the actual distance between them is greater than or equal to the safe distance.

[0016] Thirdly, this application also provides an electronic device, including a memory and a processor, wherein the memory is used to store computer programs or instructions, and when the computer programs or instructions are executed by the processor, the methods in the first aspect or any possible implementation of the first aspect are implemented.

[0017] Fourthly, this application provides a computer-readable storage medium storing a computer program or instructions that, when executed by a processor, implement the method described in the first aspect or any possible implementation thereof.

[0018] Fifthly, this application provides a computer program product. The computer program product includes a computer program or instructions that, when executed by a processor, implement the method described in the first aspect or any possible implementation thereof.

[0019] The beneficial effects of aspects two through five above can be referenced to aspect one or any possible implementation thereof, and will not be elaborated upon here. Based on the implementations provided in the above aspects, this application can also be further combined to provide more implementations.

[0020] Other advantages, objectives and features of this application will be partly apparent from the description below, and partly understood by those skilled in the art through study and practice of this application. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0022] Figure 1 This is one of the flowcharts of the fresh food cold chain storage location management method provided in the embodiments of this application; Figure 2 This is a schematic diagram of a sub-step of step S101 provided in the embodiments of this application; Figure 3 This is a schematic diagram of a sub-step of step S205 provided in the embodiments of this application; Figure 4 This is a schematic diagram of a sub-step of step S103 provided in the embodiments of this application; Figure 5 This is a schematic diagram of a sub-step of step S401 provided in an embodiment of this application; Figure 6This is a schematic diagram of a sub-step of step S107 provided in the embodiments of this application; Figure 7 This is the second flowchart of the fresh food cold chain storage location management method provided in the embodiments of this application; Figure 8 This is the third flowchart of the fresh food cold chain storage location management method provided in the embodiments of this application; Figure 9 This is a schematic diagram of the structure of the fresh food cold chain storage location management device provided in the embodiments of this application; Figure 10 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0023] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0024] The term "and / or" as used in this application includes any and all combinations of one or more of the associated listed items. In this application, "at least one" means one or more, and "more than one" means two or more. The terms "first," "second," and other ordinal terms used in this application may be used to describe various constituent elements, but these constituent elements are not limited by these terms. The purpose of using these terms is solely to distinguish one constituent element from others and should not be construed as indicating or implying relative importance. For example, without departing from the scope of this application, a first constituent element may be named a second constituent element, and similarly, a second constituent element may be named a first constituent element.

[0025] refer to Figure 1 , Figure 1 This is one of the flowcharts for a fresh food cold chain storage location management method provided in an embodiment of this application. For example... Figure 1 As shown, this method for managing fresh food cold chain storage locations includes at least the following steps: S101: Determine the corresponding ethylene sensitivity level based on the category identification information of the fresh goods that have been put into storage; S103: Determine the categories of ethylene release source cargo and ethylene sensitive cargo based on the ethylene sensitivity level, and calculate the safe distance between the categories of ethylene release source cargo and ethylene sensitive cargo; S105: When the inventory ratio of ethylene emission source goods is detected to exceed the preset ratio, a storage location adjustment instruction is generated based on the safety distance; S107: In response to a cargo location adjustment order, adjust the cargo location layout of ethylene release source cargo and ethylene sensitive cargo so that the actual distance between them is greater than or equal to the safe distance.

[0026] Specifically, the method first identifies the category identification information (such as category code, label, or RFID data) attached to the fresh produce already in storage, then calls a pre-set ethylene sensitivity database to determine the ethylene sensitivity level of each product (step S101). This level characterizes the sensitivity of the product to ethylene gas or its ability to release ethylene gas. Subsequently, the system classifies the products into ethylene-releasing source products (i.e., fruits and vegetables with active metabolism that release ethylene gas, such as bananas, mangoes, and tomatoes) and ethylene-sensitive products (i.e., fruits and vegetables that are sensitive to ethylene gas and are easily ripened or degraded by it, such as leafy greens, broccoli, and carrots) based on the physicochemical characteristics, preservation requirements, and storage environment parameters of the two types of products, and calculates the required preservation levels between them using a pre-set algorithm. Maintaining a safe distance (step S103) to block the adverse propagation of ethylene gas; during warehouse operation, the system continuously monitors the inventory ratio of ethylene-emitting source goods. When this ratio exceeds a preset threshold, it indicates that ethylene-emitting sources are relatively concentrated in the current warehouse environment, and the potential risk of ethylene accumulation increases. At this time, the system automatically generates a storage location adjustment instruction based on the aforementioned calculated safe distance (step S105); finally, the warehouse management system responds to the instruction by controlling automated handling equipment or guiding manual operation to dynamically adjust the storage location layout of the two types of goods, ensuring that the actual spatial distance between ethylene-emitting source goods and ethylene-sensitive goods is always greater than or equal to the calculated safe distance (step S107), thereby achieving refined storage location management based on ethylene characteristics.

[0027] Thus, this method transforms the traditional extensive management model of mixed storage in cold chain warehousing into differentiated spatial isolation management by establishing a cargo classification system based on ethylene sensitivity levels. Since ethylene gas has significant ripening and aging-inducing effects at both ambient and low temperatures, and it easily accumulates and diffuses in enclosed storage spaces, traditional fixed-location layouts cannot adapt to the risk evolution brought about by dynamic changes in inventory structure. This method, however, proactively restructures the storage location layout before risks accumulate by monitoring the inventory proportion of ethylene-releasing source goods in real time and triggering a dynamic adjustment mechanism, thus blocking the uncontrolled propagation path of ethylene gas from the release source to sensitive goods. Furthermore, the scientific calculation and enforcement of safe distances not only effectively inhibits premature ripening and quality deterioration of sensitive goods, extending the overall shelf life, but also significantly reduces the damage and return rates caused by chemical crosstalk, improving the space utilization safety and operational economic efficiency of cold chain warehousing.

[0028] For example, in the ambient temperature fruit and vegetable storage area of ​​a large third-party cold chain logistics distribution center, this system can be deployed in the following application scenario: When a batch of bananas from Hainan (a high-ethylene release source) enters the warehouse, the system identifies them as "Tropical Fruit - High Ethylene Release Type" by scanning their category QR code and automatically associates their ethylene sensitivity level as "Release Source - High"; at the same time, the warehouse already stores spinach and broccoli from Yunnan (high-ethylene sensitive goods), which the system classifies as "Sensitive - High". Based on the ethylene release rate and sensitivity threshold of the two types of goods, the system calculates a safe distance of 5 meters. As the peak season approaches, the banana inventory ratio has risen from an initial 15% to over the preset 30% threshold. At this point, the system determines that the risk of ethylene accumulation has reached the warning level and immediately generates a storage location adjustment instruction. The automated stacker crane responds to the instruction, transferring the bananas to an independent, ventilated storage location on the east side of the warehouse. At the same time, the spinach and broccoli near the original storage location are moved to an area more than 5 meters away on the west side, or adjusted to different temperature zones with independent air curtains, thereby ensuring that high-value leafy vegetables are not affected by ethylene ripening and guaranteeing the quality and shelf life of the goods when they leave the warehouse.

[0029] In some embodiments, reference Figure 2 , Figure 2 This is a schematic diagram of the sub-steps of step S101 provided in an embodiment of this application. For example... Figure 2 As shown, the process of determining the corresponding ethylene sensitivity level based on the category identification information of fresh goods that have been put into storage includes at least the following steps: S201: Obtain category identification information for fresh produce, which shall include at least the product type identification and maturity identification. S203: Based on the cargo type identifier, query the preset ethylene sensitivity classification database to determine the initial sensitivity level. The ethylene sensitivity classification database stores the mapping relationship between cargo types and ethylene sensitivity levels. S205: The initial sensitivity level is corrected based on the maturity indicator to obtain the target ethylene sensitivity level.

[0030] Specifically, the method first obtains the category identification information of fresh goods by reading the digital tags or RFID codes attached to the goods already in storage (step S201). This information includes at least the category identification (such as category codes for "banana" and "spinach") and the maturity identification (such as stage identifications for "green ripening" and "fully ripening"), thus constructing a multi-dimensional description of the goods' characteristics. Then, the system uses the category identification as the search key to query a pre-set ethylene sensitivity grading database (step S203). This database stores a mapping relationship between goods categories and ethylene sensitivity levels established based on experimental data. The initial sensitivity level reflecting the inherent metabolic characteristics of the category is obtained through matching queries. Furthermore, the system dynamically corrects the initial sensitivity level according to the actual maturity identification of the goods (step S205), for example, raising the ethylene sensitivity level of climacteric fruits in the later stages of ripening to a higher level, ultimately obtaining a target ethylene sensitivity level that matches the current physiological state of the goods, providing a precise classification basis for subsequent differentiated storage management. It should be noted that the fully ripening stage is also known as the post-ripening stage.

[0031] Therefore, this method, by constructing a two-dimensional ethylene sensitivity evaluation system based on "variety-maturity," overcomes the limitations of traditional warehousing management that relies solely on broad category classification. Since the ethylene metabolism characteristics of fresh produce depend not only on species genetic attributes but also significantly on post-harvest maturity—climacteric fruits and vegetables exhibit exponential growth in ethylene release during late maturity, and the tolerance threshold for ethylene varies significantly across different maturity stages for the same variety—a single-dimensional static classification cannot accurately reflect the real-time risk level of goods. This application, through a two-level judgment mechanism—first determining a baseline level based on variety and then dynamically correcting it based on maturity—achieves a precise profile of the ethylene hazard of goods. This avoids the crosstalk risks caused by mislabeling immature, high-ethylene-releasing fruits as low-risk, and also prevents unnecessary space waste caused by excessively isolating overripe, low-sensitivity vegetables. Thus, it maximizes the utilization efficiency of storage space while ensuring food safety, significantly reducing the risk of quality deterioration and operating costs due to misclassification.

[0032] For example, in the cold chain warehouse of a fresh food e-commerce company in East China, the system performs the following operations: When a batch of freshly picked tomatoes (climacteric fruits) enters the warehouse, the system obtains the category identification information by scanning the barcode on the box (step S201), where the product type is identified as "tomato - firm fruit type" and the maturity is identified as "green ripe stage (color change stage)"; the system queries the ethylene sensitivity classification database (step S203), and determines the initial sensitivity level as "medium risk - potential release source" based on the mapping relationship of "tomato - firm fruit type"; subsequently, the system identifies the maturity as green ripe stage and corrects it according to preset parameters. The rule (low ethylene release from climacteric fruits during the green-ripe stage) corrects the level to "low risk - slight release source" (step S205), and temporarily stores the tomatoes in a regular ventilated storage location. However, when the same batch of tomatoes is tested again after five days, the maturity label is updated to "red ripe stage (fully ripe stage)," and the system re-executes the S203-S205 process, correcting the level to "high risk - strong release source," immediately triggering a transfer instruction to an independent isolation storage location. This achieves dynamic risk management based on the evolution of the goods' physiological state, effectively protecting sensitive leafy vegetables in the same storage area from the effects of ethylene ripening.

[0033] In some embodiments, reference Figure 3 , Figure 3 This is a schematic diagram of the sub-steps of step S205 provided in an embodiment of this application. For example... Figure 3 As shown, the process of correcting the initial sensitivity level based on the maturity indicator to obtain the target ethylene sensitivity level includes at least the following steps: S301: If the cargo type identifier matches the climacteric fruit identifier, and the maturity identifier is in the mature stage or the post-ripening stage, then the target ethylene sensitivity level is set to the preset high level, which corresponds to the ethylene release source cargo; otherwise, the initial sensitivity level is used as the target ethylene sensitivity level.

[0034] Specifically, the correction mechanism first identifies whether the cargo type belongs to the climacteric fruit category and simultaneously determines whether its maturity indicator is in the mature or post-ripening stage. When both conditions are met, it indicates that the cargo is in the active period of ethylene metabolism and has a significant ethylene release capacity. At this time, the system directly determines the target ethylene sensitivity level as the preset high level, which clearly corresponds to the ethylene release source cargo. If either of the above conditions is not met, that is, the cargo is a non-climacteric fruit, or although it is climacteric, it is still in the immature stage, then the initial sensitivity level is maintained as the final target level, thereby completing the accurate risk classification based on physiological characteristics.

[0035] Therefore, this correction logic, by introducing the maturity stage determination of climacteric fruits, effectively solves the technical deficiency of static grading in failing to reflect postharvest physiological changes. Because climacteric fruits and vegetables (such as bananas, mangoes, and tomatoes) experience a sharp increase in ethylene synthase activity after ripening begins, their ethylene release can increase dozens of times within a few days, while non-climacteric fruits (such as grapes and citrus) maintain a consistently low level of ethylene production, and climacteric fruits release almost no ethylene before ripening. This application uses the "maturity stage / post-ripening stage" as the key threshold for triggering a high-level determination. The system can automatically increase the risk level of goods when they enter the ethylene surge period, thereby triggering isolation measures in advance and avoiding cross-contamination accidents caused by storing goods at a low-risk level when they are about to release large amounts of ethylene. This dynamic correction mechanism significantly improves the timeliness and safety of cargo grading, and reduces the risk of quality loss and cross-contamination caused by delayed processing after fruit ripening.

[0036] For example, in the fresh produce distribution center of a large supermarket chain, the system performs the following operations on the batch of bananas entering the warehouse: The product label is scanned to obtain the category identifier "Banana - Imported Bananas," and the maturity identifier is "Unripe Stage (Transport Maturity Stage)." The initial database query yields a rating of "Medium Risk." The system determines that the product category identifier matches the climacteric fruit identifier, but the maturity identifier is unripe stage (not fully ripe / post-ripening stage), failing to meet both conditions, so the original rating is maintained. Three days later, a second check shows the maturity identifier has been updated to "Yellow Ripening Stage (Mature Stage)." At this point, the system re-executes the correction process, recognizing the dual satisfaction of the climacteric fruit and maturity stage conditions. The target rating is immediately corrected to the preset high rating "High Risk - Strong Release Source," and a transfer instruction to an independent controlled atmosphere storage location is triggered. This effectively prevents the ethylene released by the bananas from causing yellowing and spoilage of broccoli (ethylene-sensitive) on adjacent shelves, ensuring the sales quality of high-value leafy vegetables.

[0037] In some embodiments, reference Figure 4 , Figure 4 This is a schematic diagram of the sub-steps of step S103 provided in an embodiment of this application. For example... Figure 4 As shown, the process of calculating the safe distance between ethylene release source cargo and ethylene-sensitive cargo includes at least the following steps: S401: Determine the corresponding safety distance based on the ethylene tolerance threshold of ethylene-sensitive goods.

[0038] Specifically, the calculation process first obtains the ethylene tolerance threshold of ethylene-sensitive goods (i.e., the maximum environmental ethylene concentration that the category can withstand without significant ripening, yellowing, or quality deterioration), and then derives the required safety distance based on the mathematical relationship between this threshold and the spatial diffusion model. Among them, the ethylene tolerance threshold and the required safety distance have a negative correlation, that is, the lower the ethylene tolerance threshold of fresh goods (such as leafy vegetables and berries), the higher their sensitivity to ethylene gas, and the larger the corresponding safety distance setting. On the other hand, goods with a higher ethylene tolerance threshold (such as root vegetables and melons) are allowed to set a relatively small safety distance, thereby achieving precise spatial isolation based on the physiological tolerance differences of goods.

[0039] Therefore, this method, by introducing the ethylene tolerance threshold as a variable in calculating the safety distance, overcomes the technical limitations of traditional cold chain warehousing that uses a fixed and uniform isolation distance. Since the ethylene tolerance of different types of fresh produce varies significantly—for example, spinach may have an ethylene tolerance threshold below 0.1 ppm, while carrots may tolerate above 1 ppm—applying the same safety distance constraint to both would either lead to excessive isolation of high-tolerance goods, wasting storage space, or insufficient isolation of low-tolerance goods, leading to the risk of quality deterioration. This application, by establishing an inverse quantitative relationship between the tolerance threshold and the safety distance, enables the system to ensure sufficient protection for low-tolerance, high-value goods while avoiding unnecessary space redundancy for high-tolerance goods. This maximizes storage space utilization efficiency while ensuring food safety, significantly reducing resource waste and economic losses caused by a one-size-fits-all approach.

[0040] For example, in a mixed storage area of ​​a high-end fresh produce warehouse, the system simultaneously manages goods from different origins: a batch of fresh spinach (highly sensitive) with an ethylene tolerance threshold of only 0.05 ppm and a batch of mature onions (moderately sensitive) with an ethylene tolerance threshold of 2.0 ppm. When the system detects goods that release ethylene (such as mangoes with high release concentrations) entering the warehouse, it immediately initiates a safety distance calculation: for spinach, based on its extremely low tolerance threshold, a safety distance of more than 5 meters is required to dilute the ethylene concentration to a safe level; while for onions, based on their higher tolerance threshold, a distance of only 1.5 meters is sufficient. Based on this, the system generates differentiated storage location adjustment instructions, placing the mangoes in an isolation zone more than 5 meters away from the spinach, while allowing them to be stored only 1.5 meters away from the onions. This ensures that the spinach does not yellow and spoil, while avoiding the waste of storage space caused by blindly expanding the isolation range, achieving a precise balance between safety and efficiency.

[0041] In some embodiments, reference Figure 5 , Figure 5 This is a schematic diagram of the sub-steps of step S401 provided in an embodiment of this application. For example... Figure 5As shown, the process of determining the corresponding safety distance based on the ethylene tolerance threshold of ethylene-sensitive goods includes at least the following steps: S501: Obtain the ethylene release rate and cold storage airflow organization parameters for ethylene release source goods; S503: Based on the ethylene release rate and cold storage airflow organization parameters, calculate the ethylene concentration distribution field around ethylene release source goods; S505: Determine the safe distance between ethylene release source cargo and ethylene sensitive cargo based on the ethylene concentration distribution field and the ethylene tolerance threshold of ethylene sensitive cargo.

[0042] Specifically, the determination process first obtains the real-time ethylene release rate (characterizing its metabolic intensity) of ethylene-releasing source goods through sensor monitoring or database query, and simultaneously collects airflow organization parameters of the cold storage (including air supply speed, wind direction, temperature stratification, and shelf layout, etc.) (step S501) to construct physical boundary conditions reflecting the microenvironment of the storage. Then, based on the convection-diffusion equation or a preset CFD simulation model, combined with the ethylene release rate and airflow organization parameters, the ethylene concentration distribution field around the ethylene-releasing source goods is calculated as a function of spatial location (step S503), resulting in an ethylene concentration gradient cloud map diffusing outward from the release source. Finally, the isoconcentration surface position corresponding to the ethylene tolerance threshold of ethylene-sensitive goods is retrieved in the concentration distribution field, and the spatial distance between the isoconcentration surface and the release source is determined as the safe distance (step S505), achieving accurate distance quantification based on the physical diffusion mechanism.

[0043] Therefore, this method, by introducing cold storage airflow organization parameters to construct a dynamic ethylene concentration distribution field, breaks through the traditional extensive management based on empirical formulas or fixed empirical values ​​for setting safety distances. Since the diffusion of ethylene gas in cold storage is not uniform and isotropic, but significantly affected by the buoyancy effect generated by forced convection airflow, shelf obstruction, and temperature stratification—ethylene can be rapidly diluted to a safe level in the downwind area, while high concentrations may accumulate in leeward dead zones or shelf gaps. If a uniform safety distance standard is adopted, it is easy to cause hidden exceedances in airflow blind spots or excessive isolation in well-ventilated areas. This application, by first establishing a concentration distribution model coupled with the release rate and airflow field, and then inversely solving for the isoconcentration surface distance based on the tolerance threshold of sensitive goods, can accurately identify the actual safety boundaries in different directions. This ensures that sensitive goods are outside the safe concentration envelope while avoiding setting excessively large redundant distances due to ignoring the airflow dilution effect, significantly improving the scientific nature and utilization rate of cold storage space layout.

[0044] For example, in a prefabricated cold storage equipped with a top-mounted perforated air duct, the system simultaneously stores mature kiwifruit (the source of ethylene release) with a high ethylene release rate and tender asparagus (the sensitive species) with an extremely low ethylene tolerance threshold. The system first obtains the real-time ethylene release rate of kiwifruit (approximately 50 μL / (kg·h)) using a gas analyzer, and retrieves the airflow organization parameters of the cold storage (air supply velocity 0.3 m / s, wind direction from top to bottom, shelf height 2.5 m) (step S501). Based on these data, CFD simulation calculations are performed to obtain the ethylene concentration distribution field, where the shelf obstructs the formation of a low wind speed zone (ethylene concentration peak zone) on the east side, while the concentration in the mainstream air supply zone on the west side rapidly decreases (step S503). Then, the isoconcentration surface of the asparagus tolerance threshold of 0.1 ppm is searched in this distribution field, and it is found that a distance of 3.5 meters is required on the east side, while only 1.8 meters is required on the west side to meet the safety requirements (step S505). Based on this, the system generates an asymmetric storage location adjustment instruction, placing the asparagus in a close storage location on the west side of the kiwifruit and avoiding placing it on the east side. Thus, while ensuring that the asparagus does not lignify and deteriorate, it saves approximately 40% of the storage space compared to the traditional symmetrical isolation scheme.

[0045] In some embodiments, reference Figure 6 , Figure 6 This is a schematic diagram of the sub-steps of step S107 provided in an embodiment of this application. For example... Figure 6 As shown, the process of adjusting the storage location of ethylene emission source cargo and ethylene sensitive cargo in response to a storage location adjustment instruction includes at least the following steps: S601: Transfer ethylene-sensitive goods to a new storage location that meets safety distance requirements; S603: Alternatively, transfer ethylene-releasing cargo to a separate, isolated area.

[0046] Specifically, in response to the storage location adjustment instruction, the system selectively executes one of the following two storage location reconstruction schemes based on the current cargo flow status and resource allocation in the storage area: First, the entire ethylene-sensitive cargo is transferred to a new storage location that meets the safety distance requirements (step S601). This scheme is suitable for scenarios where the stock of sensitive cargo is small, the packaging specifications are uniform, or there are suitable idle storage locations nearby, achieving risk isolation by moving high-value sensitive goods; Second, the ethylene release source cargo is centrally transferred to an isolation area equipped with an independent ventilation or controlled atmosphere system (step S603). This scheme is suitable for scenarios where the release source cargo is highly concentrated, the batch scale is large, or the sensitive cargo is scattered and difficult to move in a unified manner, reducing management complexity through the "centralized control of pollution sources" strategy; One of the two schemes is selected for execution, ensuring that the actual distance between the two types of cargo after adjustment is greater than or equal to the preset safety distance.

[0047] Therefore, this selective adjustment strategy, by providing a two-way transfer technical path, breaks through the rigid constraints on operational efficiency imposed by the traditional one-way fixed adjustment mode. Since cold chain warehousing location adjustments involve the risk of temperature control interruptions, handling energy consumption, and labor costs, if it is mandatory to only move a certain type of goods, moving all sensitive goods will result in a huge operational load and temperature fluctuation losses when the inventory of sensitive goods is large and the release source is only sporadic batches, and vice versa. This application, by giving the system or operator the flexibility to autonomously select transfer targets based on real-time inventory structure (such as the quantity ratio, distribution density, and packaging characteristics of the two types of goods), can minimize the physical workload of location adjustments and temperature control interruption time while ensuring that safe distances are met, significantly reducing operation and maintenance costs and improving response speed, while avoiding mechanical damage and quality deterioration of goods caused by mandatory large-scale handling.

[0048] For example, in a next-day delivery warehouse of a fresh food e-commerce company, the system detected that the actual distance between ethylene-emitting source goods (3 pallets of freshly arrived ripe mangoes) and ethylene-sensitive goods (25 pallets of stored spinach and lettuce mixed together) was only 2 meters, lower than the calculated safe distance of 5 meters. At this time, the system assessed the inventory structure: the sensitive goods occupied 25 scattered storage locations and were pre-packaged and ready for shipment. If step S601 was executed, 25 storage locations would need to be disassembled and re-sorted, which would be a large workload and could easily cause mechanical damage to the leafy vegetables. On the other hand, there were only 3 pallets of ethylene-emitting source goods and they had not yet been unpacked. Executing step S603 to move them to an independent controlled atmosphere compartment (equipped with an independent ventilation system) in the corner of the warehouse would be more efficient. Based on this, the system chose to execute step S603, which, by moving 3 pallets of ethylene-emitting source goods instead of 25 pallets of sensitive goods, completed the compliant layout within 10 minutes. This reduced the amount of storage location adjustment work by 88% compared to the forced movement of sensitive goods and ensured that the immediate ready-to-ship status of the leafy vegetables was not disturbed.

[0049] In some embodiments, reference Figure 7 , Figure 7 This is the second flowchart of a fresh food cold chain storage location management method provided in an embodiment of this application. Figure 7 As shown, after adjusting the storage location layout of ethylene emission source goods and ethylene-sensitive goods, the following steps are also included: S701: Obtain the adjusted environmental feedback parameters, which shall include at least the real-time ethylene concentration around ethylene-sensitive goods; S703: When the real-time ethylene concentration exceeds the ethylene tolerance threshold for ethylene-sensitive goods, the safety distance is recalculated and a secondary cargo location adjustment instruction is generated.

[0050] Specifically, after completing the initial cargo location layout adjustment (step S107), the system does not terminate monitoring. Instead, it continuously acquires the adjusted environmental feedback parameters through a network of ethylene concentration sensors deployed around ethylene-sensitive cargo (step S701). These parameters include at least the real-time ethylene concentration data of the microenvironment where the sensitive cargo is located, used to quantitatively verify the actual isolation effect of the initial adjustment. Subsequently, the system dynamically compares the collected real-time ethylene concentration with the ethylene tolerance threshold of the cargo (step S703). When the real-time concentration is detected to exceed the tolerance threshold, it indicates that the initial safety distance setting may have deviated due to abnormal airflow, fluctuations in the intensity of the release source, or insufficient spatial obstruction. At this time, the system automatically triggers the recalculation of the safety distance and generates a secondary cargo location adjustment command to achieve iterative optimization control based on real-time environmental feedback.

[0051] Therefore, this method effectively solves the problem of protection failure caused by model errors or sudden environmental changes in the initial static calculation by constructing a closed-loop feedback mechanism of "adjustment-monitoring-readjustment". Since the airflow organization in cold storage has time-varying characteristics due to the influence of inbound and outbound operations, fan start-up and shutdown, and changes in cargo stacking, the initial safety distance calculated based on the steady-state CFD model may be insufficient to block ethylene diffusion in actual operation due to flow field distortion. Without environmental monitoring feedback, the system will remain in a "false safety" state for a long time until the quality of the goods undergoes visible deterioration. This application introduces real-time ethylene concentration monitoring after cargo location adjustment and sets threshold trigger conditions to promptly capture protection loopholes in the initial layout. Based on the measured concentration data, the safety distance calculation parameters (such as correcting the diffusion coefficient or release rate) are recalibrated, generating more targeted secondary adjustment instructions. This continuously ensures the safety of sensitive goods' ethylene exposure in a dynamically changing storage environment, significantly reducing the risk of systemic cargo damage caused by deviations between model assumptions and actual conditions.

[0052] For example, in the banana-leafy vegetable mixed storage area of ​​a large fruit and vegetable cold chain logistics center, the system initially calculates and arranges a batch of ripening bananas (the source of ethylene release) with delicate spinach (a sensitive type, with a tolerance threshold of 0.1 ppm) at a safe distance of 5 meters. After the storage location is adjusted, the system continuously acquires environmental feedback parameters through wireless ethylene sensors deployed between the spinach storage locations (step S701). It discovers that due to frequent entry and exit from the storage area that day, the west side air curtain is frequently opened, causing local airflow disorder. The real-time ethylene concentration monitoring value around the spinach rises to 0.15 ppm, exceeding its tolerance threshold (step S703). The system immediately identifies this excessive state, recalculates that under the current abnormal airflow conditions, the safe distance needs to be increased to 8 meters, and generates a secondary storage location adjustment command. This triggers automated equipment to transfer the bananas to a more distant independent controlled atmosphere storage, thereby timely blocking the risk of ethylene accumulation and preventing the spinach from yellowing and wilting within 24 hours, thus ensuring the shelf life and commercial value of high-value leafy vegetables.

[0053] In some embodiments, reference Figure 8 , Figure 8 This is the third flowchart of a fresh food cold chain storage location management method provided in an embodiment of this application. Figure 8 As shown, prior to step S101, the method further includes the step of establishing an ethylene sensitivity grading database, which includes at least the following steps: S801: Collect ethylene release rate and ethylene tolerance threshold of various fresh goods under various preset conditions; S803: Based on ethylene release rate and ethylene tolerance threshold, establish a mapping relationship between cargo type and ethylene sensitivity level, and a correction rule for ethylene sensitivity level based on maturity indicator; S805: Store the mapping relationship and correction rules in the ethylene sensitivity classification database, and update the ethylene sensitivity classification database according to a preset cycle.

[0054] Specifically, this method pre-constructs a standardized data infrastructure to support ethylene sensitivity classification before step S101. First, by deploying high-precision gas analyzers and physiological monitoring equipment in a controlled experimental environment or pilot cold storage, the method systematically collects ethylene release rates and ethylene tolerance thresholds of various fresh produce (including climacteric and non-climacteric fruits and vegetables) under various preset conditions (such as different temperature gradients, humidity levels, packaging methods, and maturity stages) (step S801), establishing a raw physiological parameter library covering major product categories. Then, based on the collected ethylene release rate data, the produce is classified into different risk levels (such as high-release sources, medium-release sources, and low-release sources), and based on the ethylene tolerance threshold data, it is classified into sensitive categories. The system establishes a basic mapping relationship between commodity types and ethylene sensitivity levels (e.g., high sensitivity, medium sensitivity, low sensitivity). Simultaneously, it formulates correction rules based on maturity indicators (e.g., green maturity, color change, full maturity) to dynamically adjust the basic level upwards or downwards (step S803). Finally, the above mapping relationship and correction rules are structured and stored in the ethylene sensitivity grading database, with a preset quarterly or semi-annual cycle. The database is iteratively updated based on newly introduced variety data, seasonal quality changes, and research findings (step S805) to ensure the timeliness and accuracy of the classification system.

[0055] Therefore, this method, by establishing a dynamically updated ethylene sensitivity grading database, lays a quantifiable and scalable data foundation for the entire storage location management method. Since the ethylene metabolism characteristics of the same type of fruits and vegetables may vary significantly depending on their origin, variety, and cultivation method, and new varieties are constantly being introduced to the market with advancements in agricultural breeding technology, sensitivity grading based on experience or static tables will quickly become outdated without a standardized data collection and periodic update mechanism, leading to incorrect storage location matching. The self-evolving database system constructed in steps S801-S805 of this application ensures, on the one hand, that the initial mapping relationship is based on the statistical regularity of a large amount of experimental data, avoiding bias from subjective human judgment; on the other hand, through a pre-set periodic forced update mechanism, the system can continuously absorb the physiological parameters of new varieties and best practice data, thereby maintaining the scientific nature and adaptability of the storage location management strategy in the long term, in the context of diversified fruit and vegetable varieties and rapid iteration of cultivation technologies, and significantly reducing the risk of misclassification due to outdated data.

[0056] For example, when implementing this solution, the Central Research Institute of a nationwide fresh food chain retailer first organized standardized tests on 87 common fruits and vegetables on the market: at three temperature levels (0℃, 4℃, and 8℃) and under different packaging conditions, the ethylene release rate of samples such as bananas, kiwis, spinach, and broccoli was continuously monitored using gas chromatography, and the ethylene tolerance threshold of various goods was determined through exposure experiments (step S801); based on the collected thousands of sets of data, the research team established mapping relationships such as "tropical fruits - climacteric - high release" and "leafy vegetables - high sensitivity", and formulated a correction rule of "automatically +1 when climacteric fruits enter the ripe stage" (step S803); the system verifies and updates the database every quarter through the data on goods damage reported by stores and the results of laboratory sampling (step S805). When a newly introduced rare variety of "soft-fleshed kiwifruit" is first stored, the warehousing system directly calls the mapping relationship and correction rules of the same family Actinidiaceae in the database to immediately identify it as a potential high-release source and take preventive isolation measures. This avoids quality accidents caused by blindly mixing and storing due to a lack of historical data and ensures the safe storage and operation of the new variety.

[0057] Based on the same technical concept, this application also provides a fresh food cold chain storage location management device, see reference. Figure 9 , Figure 9 This is a schematic diagram of the structure of the fresh food cold chain storage location management device provided in the embodiments of this application. Figure 9 As shown, the fresh food cold chain storage location management device includes at least a cargo grading module 901, a distance calculation module 902, a trigger judgment module 903, and a layout adjustment module 904, wherein: The cargo classification module 901 is used to determine the corresponding ethylene sensitivity level based on the category identification information of the fresh goods that have been put into storage. The distance calculation module 902 is used to determine the ethylene release source goods and the ethylene sensitive goods based on the ethylene sensitivity level, and to calculate the safe distance between the ethylene release source goods and the ethylene sensitive goods; wherein, the ethylene release source goods are fresh goods that actively release ethylene, and the ethylene sensitive goods are fresh goods whose ethylene concentration exceeds their ethylene tolerance threshold and thus their quality deteriorates. The trigger judgment module 903 is used to generate a storage location adjustment instruction based on a safe distance when the inventory ratio of ethylene release source goods is detected to exceed a preset ratio. The layout adjustment module 904 is used to adjust the storage layout of ethylene release source goods and ethylene sensitive goods in response to the storage location adjustment command, so that the actual distance between them is greater than or equal to the safe distance.

[0058] It should be noted that the above module division is only for ease of description and does not constitute a limitation of the present invention. In specific implementations, each functional module can be implemented by a software program on the same processor, or it can be implemented collaboratively by multiple processors / controllers; the functions of each module can also be merged, split, or replaced by other modules.

[0059] Based on the same technical concept, this application also provides an electronic device, see reference. Figure 10 , Figure 10 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 10 As shown, the electronic device includes a memory 1001 and a processor 1002. The memory 1001 is used to store computer instructions; when the processor 1002 executes the computer instructions, it implements the method steps in any method embodiment.

[0060] The memory 1001 includes at least one type of computer-readable storage medium, including flash memory, hard disk, multimedia card, random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), magnetic disk, optical disk, etc. In some embodiments, the computer-readable storage medium may be an internal storage unit of an electronic device, such as the hard disk or memory of the electronic device. In other embodiments, the computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, secure digital card (SD card), flash memory card, etc., equipped on the electronic device. Of course, the computer-readable storage medium may include both internal storage units and external storage devices of the electronic device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the electronic device, such as the program code of the fresh food cold chain warehouse location management method in the embodiment. In addition, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0061] In some embodiments, processor 1002 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other chip. Processor 1002 is typically used to control the overall operation of the processing device, such as performing control and processing related to data interaction or communication with other entities. In this embodiment, processor 1002 is used to run program code stored in memory 1001 or process data.

[0062] Based on the same technical concept, this application also provides a computer-readable storage medium, which includes a computer program or instructions stored in the storage medium. When the computer program or instructions are executed by a processing device, they implement the method steps in any method embodiment. Further details can be found in the method embodiments, which will not be repeated here. In this embodiment, the computer-readable storage medium includes flash memory, hard disk, multimedia card, random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), magnetic disk, optical disk, etc. In some embodiments, the computer-readable storage medium can be an internal storage unit of an electronic device, such as the hard disk or memory of the electronic device. In other embodiments, the computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, secure digital card (SD card), flash memory card, etc., equipped on the electronic device. Of course, the computer-readable storage medium can also include both internal storage units and external storage devices of the electronic device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the electronic device, such as the program code of the fresh food cold chain warehouse location management method in the embodiment. Furthermore, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0063] Based on the same technical concept, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. The processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the fresh food cold chain storage location management method provided in the above-described method embodiments.

[0064] It should be noted that the order of description of the embodiments in this application is not intended to limit the priority of the embodiments.

[0065] Unless otherwise defined, all technical and scientific terms used in this application have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this application and in its specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0066] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many forms under the guidance of this application without departing from the spirit and scope of protection of the claims. All equivalent transformations made under the inventive concept of this application using the content of this application's specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of this application.

Claims

1. A method for managing fresh food cold chain storage locations, characterized in that, include: Based on the category identification information of the fresh goods that have been put into storage, determine the corresponding ethylene sensitivity level; Based on the ethylene sensitivity level, goods classified as ethylene release sources and goods classified as ethylene sensitive are determined, and the safe distance between the goods classified as ethylene release sources and goods classified as ethylene sensitive is calculated; wherein, the goods classified as ethylene release sources are fresh goods that actively release ethylene, and the goods classified as ethylene sensitive are fresh goods whose quality deteriorates when the ethylene concentration exceeds their ethylene tolerance threshold. When the inventory ratio of the ethylene emission source goods is detected to exceed the preset ratio, a storage location adjustment instruction is generated based on the safety distance; In response to the cargo location adjustment instruction, the cargo location layout of the ethylene release source cargo and the ethylene sensitive cargo is adjusted so that the actual distance between them is greater than or equal to the safe distance.

2. The method according to claim 1, characterized in that, The determination of the corresponding ethylene sensitivity level based on the category identification information of the fresh produce already in storage includes: Obtain the category identification information of the fresh produce, wherein the category identification information includes at least the product type identification and the maturity identification; Based on the cargo type identifier, a preset ethylene sensitivity classification database is queried to determine the initial sensitivity level. The ethylene sensitivity classification database stores the mapping relationship between cargo types and ethylene sensitivity levels. The initial sensitivity level is corrected based on the maturity indicator to obtain the target ethylene sensitivity level.

3. The method according to claim 2, characterized in that, The step of correcting the initial sensitivity level based on the maturity indicator to obtain the target ethylene sensitivity level includes: If the cargo type identifier matches the climacteric fruit identifier, and the maturity identifier is in the mature stage or the post-ripening stage, then the target ethylene sensitivity level is set to a preset high level, and the preset high level corresponds to ethylene release source cargo. Otherwise, the initial sensitivity level shall be used as the target ethylene sensitivity level.

4. The method according to claim 1, characterized in that, The calculation of the safe distance between the ethylene-releasing source cargo and the ethylene-sensitive cargo includes: The corresponding safety distance is determined based on the ethylene tolerance threshold of the ethylene-sensitive goods; wherein, the lower the ethylene tolerance threshold of the fresh goods, the greater the corresponding safety distance.

5. The method according to claim 4, characterized in that, The step of determining the corresponding safety distance based on the ethylene tolerance threshold of the ethylene-sensitive goods includes: Obtain the ethylene release rate and cold storage airflow organization parameters of the ethylene release source type of goods; Based on the ethylene release rate and the cold storage airflow organization parameters, the ethylene concentration distribution field around the ethylene release source type of goods is calculated; Based on the ethylene concentration distribution field and the ethylene tolerance threshold of the ethylene-sensitive cargo, the safe distance between the ethylene release source cargo and the ethylene-sensitive cargo is determined.

6. The method according to claim 1, characterized in that, The method of adjusting the storage location layout of the ethylene emission source cargo and the ethylene sensitive cargo in response to the storage location adjustment instruction includes: The ethylene-sensitive goods shall be transferred to a new storage location that meets the aforementioned safety distance. Alternatively, the ethylene-releasing cargo may be transferred to a separate, isolated area.

7. The method according to claim 1, characterized in that, After adjusting the storage location layout of the ethylene emission source cargo and the ethylene sensitive cargo, the method further includes: Obtain the adjusted environmental feedback parameters, which include at least the real-time ethylene concentration around the ethylene-sensitive goods; When the real-time ethylene concentration exceeds the ethylene tolerance threshold of the ethylene-sensitive cargo, the safety distance is recalculated and a secondary cargo position adjustment instruction is generated.

8. The method according to claim 1, characterized in that, Before determining the corresponding ethylene sensitivity level based on the category identification information of the fresh produce already in storage, the process also includes: Establishing the ethylene sensitivity grading database includes: Ethylene release rate and ethylene tolerance threshold of various fresh produce under various preset conditions were collected. Based on the ethylene release rate and ethylene tolerance threshold, a mapping relationship between cargo type and ethylene sensitivity level is established, as well as a correction rule for ethylene sensitivity level based on maturity indicator. The mapping relationship and the correction rule are stored in the ethylene sensitivity classification database, and the ethylene sensitivity classification database is updated according to a preset period.

9. A fresh food cold chain storage location management device, characterized in that, include: The cargo classification module is used to determine the corresponding ethylene sensitivity level based on the category identification information of fresh goods that have been put into storage. The distance calculation module is used to determine the ethylene-releasing source goods and the ethylene-sensitive goods based on the ethylene sensitivity level, and to calculate the safe distance between the ethylene-releasing source goods and the ethylene-sensitive goods; wherein, the ethylene-releasing source goods are fresh goods that actively release ethylene, and the ethylene-sensitive goods are fresh goods whose quality deteriorates when the ethylene concentration exceeds their ethylene tolerance threshold. The trigger judgment module is used to generate a storage location adjustment instruction based on the safety distance when the inventory ratio of the ethylene emission source goods is detected to exceed a preset ratio. The layout adjustment module is used to adjust the layout of the ethylene release source cargo and the ethylene sensitive cargo in response to the cargo location adjustment command, so that the actual distance between them is greater than or equal to the safe distance.

10. An electronic device, characterized in that, It includes a memory and a processor, the memory being used to store computer programs or instructions; when the computer programs or instructions are executed by the processor, the method of any one of claims 1-8 is implemented.

11. A computer-readable storage medium, characterized in that, The storage medium stores a computer program or instructions, which, when executed by a processor, implement the method of any one of claims 1-8.

12. A computer program product, comprising a computer program or instructions, characterized in that, When the computer program or instructions are executed by a processor, the method of any one of claims 1-8 is implemented.

Images