AI-based intelligent scheduling method and system for aquatic product supply chain

Abstract

The invention discloses an AI-based intelligent scheduling method and system for an aquatic product supply chain, and relates to the technical field of supply scheduling. Comprising the steps of obtaining supply demands including a quantity demand and a survival rate demand, obtaining a quantity demand item and a survival demand item, obtaining a demand position based on the supply demands, and obtaining a target position item; on the basis of the target position item, supply chain data information is obtained, the supply chain data information comprises position information, a supply position set is obtained, and the supply position set at least comprises a supply position item composed of the position information of one supply chain. When the supply route is planned, the route is sequenced according to the distance, the supply time is obtained, vibration data is combined, various factors in the aquatic product conveying process are comprehensively considered, the survival rate of target aquatic product conveying is monitored, and the survival rate requirement is used as a threshold value for limitation, so that the survival probability of aquatic products in the conveying process is greatly improved; and the loss is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of supply scheduling, and specifically to an intelligent scheduling method and system for an aquatic product supply chain based on AI. Background Art

[0002] Aquatic products refer to the general term for aquatic animals and plants, mainly including various fish, shrimps, crabs, shellfish, sea urchins, sea cucumbers and other aquatic animals, as well as some aquatic plants. The aquatic product supply chain refers to the entire process from the breeding and fishing of aquatic organisms to processing, storage, transportation, and then to wholesale, retail, and finally to the hands of consumers. The scheduling of the aquatic product supply chain refers to the reasonable arrangement and management of the logistics and production plans of aquatic products from fishing, breeding, processing to transportation, warehousing, and then to sales, so as to ensure that aquatic products can reach the terminal market on time, in the right quantity, and meeting the quality requirements. This includes allocating resources, optimizing routes, controlling inventory, arranging delivery times, etc. Therefore, it is necessary to schedule the supply chain according to actual needs.

[0003] The disaster relief emergency resource scheduling method based on a multi-agent genetic algorithm with the patent publication number of CN108537338A uses an agent grid as the initial population, reduces the number of iterations in the optimization process, quickly finds the optimal emergency resource scheduling plan, overcomes the disadvantages of the traditional methods in the prior art with slow convergence speed and more iterations, speeds up the convergence speed of optimizing the emergency resource scheduling, shortens the time consumed for emergency resource scheduling, performs neighborhood competition operations, neighborhood crossover operations, and mutation operations on the agent grid, reduces the search space for optimizing the emergency resource scheduling network, speeds up the optimization process of the emergency resource scheduling network, overcomes the disadvantages of the traditional methods in the prior art with large search space and large computational amount, reduces the search space, and greatly reduces the computational amount in the optimization process.

[0004] In the actual use process of the above and similar technical solutions, since the survival rate of aquatic products is related to various factors during transportation, including transportation time, whether vibration occurs during transportation, and the density of fish bodies, the longer the transportation time, the stronger the vibration during transportation, and the greater the density of fish bodies, the lower the survival rate of aquatic products. Moreover, there is more than one supply chain for aquatic products. When there is a supply demand, due to the inability to intelligently transport by integrating each supply chain according to the positional relationship of the supply chains and the conditional relationship during transportation in the prior art, only the supply chain is selected unilaterally based on distance, which will lead to a significant reduction in the survival rate of aquatic products and an increase in transportation costs. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent scheduling method and system for an aquatic product supply chain based on AI to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions: An AI-based intelligent scheduling method for the aquatic product supply chain, including: Obtain supply demands, where the supply demands include quantity demands and survival rate demands, obtain a quantity demand item and a survival demand item, and based on the supply demands, obtain the demand location to get a target location item; Based on the target location item, obtain supply chain data information, where the supply chain data information includes location information, to get a supply location set, and the supply location set includes at least one supply location item composed of the location information of a supply chain; Based on the supply location set and the target location item, obtain supply routes to get a supply path set, sort the supply path set in the order from near to far based on the paths to get a path sorting set, and obtain the supply time of the path sorting set to get a supply time set; Obtain the vibration data of the corresponding path in the aquatic product transportation process of the path sorting set to get a path vibration set; Obtain the survival rate data of the target aquatic product during transportation to get a real-time survival item, limit the real-time survival item based on the survival rate demand in the supply demand as a demand threshold, and obtain the maximum single-batch transportation volume in the aquatic product transportation process based on the path sorting set, the supply time set, and the path vibration set to get a single-batch capacity item, and then obtain a supply supply set, where the supply supply set corresponds to the path sorting set respectively; Judge whether the first supply quantity of the supply supply set meets the demand threshold. When it meets the demand threshold, use the path sorting set corresponding to the first place of the supply supply set as the corresponding supply item for aquatic product scheduling. When it does not meet the demand threshold, sequentially obtain the sequential supply quantities of the supply supply set until the supply quantity meets the demand threshold, and use the path sorting set corresponding to the supply supply set with the supply quantity meeting the demand threshold as the corresponding supply item for aquatic product scheduling to get a comprehensive scheduling item, and perform intelligent distributed scheduling considering the survival of aquatic products.

[0007] Furthermore, the acquisition method of the real-time survival item includes: ; where is the real-time survival item, is the initial survival information, is the transportation time influence information, is the transportation vibration influence information, is the transportation density influence information; ; where is the Euler's constant, is the time decay coefficient, is the transportation time, is the non-linear exponent, used to represent the hypoxia accumulation effect; ; wherein is the vibration sensitivity coefficient, is the vibration acceleration, is the vibration non - linear factor, used to represent the secondary effect of mechanical damage; ; wherein is the density suppression coefficient, is the fish body density, is the density sensitivity index, is the oxygen competition factor, which is negatively correlated with the oxygen - increasing ability of the transportation container.

[0008] Furthermore, the method for obtaining the supply path set includes: Based on the target location item as the first feature point and the supply location item as the second feature point, obtain the path information between the first feature point and the second feature point to get the total path set; Based on the supply location set, obtain the transportation information of the supply location items in the supply location set. The transportation information includes vehicle model information to get the supply vehicle items corresponding to the supply location items; Obtain the driving demand information of the supply vehicle items, judge whether the path information corresponding to the supply location items in the total path set meets the driving demand information, set the path information that does not meet the driving demand information as the excluded information to get the screened path set, and use the screened path set as the supply path set.

[0009] Furthermore, the method for obtaining the supply time set includes: Set a first judgment threshold, where the first judgment threshold is a time threshold to get the first judgment time item; Obtain the pick - up and delivery vehicle information of the supply location set in the path sorting set to get the first target vehicle item, and obtain the status information of the first target vehicle item to get the first delivery status item and the first pick - up status item; Based on the first judgment time item, obtain the average delivery time of the first target vehicle item based on the first delivery status item to get the supply time item. The supply time item corresponds to the supply route in the path sorting set respectively, and the combination of the supply time items forms the supply time set.

[0010] Furthermore, the method for obtaining the supply time set further includes: Obtain the real - time time information to get the real - time time item, and set a second judgment threshold based on the real - time time item. The second judgment threshold is a fixed - number threshold to get the second judgment time item; Obtain the pick - up and delivery vehicle information of the supply location set in the path sorting set to get the second target vehicle item, and obtain the status information of the second target vehicle item to get the second delivery status item and the second pick - up status item; Based on the second judgment time item, obtain the average delivery time of the second target vehicle item based on the delivery status item to obtain the supply time item. The supply time item corresponds to the supply route in the path sorting set respectively, and the supply time items are combined to obtain the supply time set.

[0011] Further, the method for obtaining the path vibration set includes: Obtain the pick-up and delivery vehicle information corresponding to the supply position set and the target position item in the path sorting set to obtain the supply vehicle item; Based on the supply vehicle item, set at least two vibration acquisition devices, and judge the supply route corresponding to the supply vehicle item in the aquatic product transportation state to obtain the target route item; Based on the vibration acquisition device, obtain the average vibration information of the target route item to obtain the target vibration item; Set an acquisition period, the acquisition period is a time period. Based on the supply time set, set the target supply time. Based on the target supply time, set the fluctuation threshold. According to the acquisition period, obtain the average vibration data of the target vibration item that does not exceed the target supply time fluctuation threshold to obtain the average vibration item. The average vibration item corresponds to the supply route in the path sorting set respectively, and then obtain the path vibration set.

[0012] Further, the method for obtaining the supply supply set includes: Obtain the pick-up and delivery vehicle information corresponding to the supply position set and the target position item in the path sorting set to obtain the transportation vehicle item; Obtain the capacity information of the transportation vehicle item to obtain the target capacity item; Based on the combination result of the target capacity item and the single batch capacity item, obtain the maximum supply quantity of the transportation vehicle item to obtain the maximum transportation item. The maximum transportation item corresponds to the supply position set respectively, and the maximum transportation items are combined to obtain the supply supply set.

[0013] Further, the aquatic product scheduling includes time scheduling and speed scheduling. The method for obtaining the comprehensive scheduling item includes: Obtain the supply time corresponding to the corresponding supply item in the supply time set to obtain the restricted time item; Obtain the vibration data corresponding to the corresponding supply item in the path vibration set to obtain the restricted vibration item. Based on the restricted vibration item, obtain the corresponding transportation speed to obtain the restricted speed item; The restricted time item and the restricted speed item are combined to obtain the comprehensive scheduling item.

[0014] Further, the AI-based intelligent scheduling system for the aquatic product supply chain uses the above-mentioned AI-based intelligent scheduling method for the aquatic product supply chain, including: Acquisition module: Acquire supply demands, where the supply demands include quantity demands and survival rate demands, obtain quantity demand items and survival demand items, based on the supply demands, acquire demand locations to obtain target location items, and based on the target location items, acquire supply chain data information, where the supply chain data information includes location information, to obtain a supply location set; Calculation module: Based on the supply location set and the target location items, acquire supply routes to obtain a supply path set, sort the supply path set in ascending order of the distance of the routes to obtain a path sorting set, acquire the supply times of the path sorting set to obtain a supply time set, and acquire the vibration data during the aquatic product transportation process for the paths corresponding to the path sorting set to obtain a path vibration set; Processing module: Acquire the survival rate data of the target aquatic product during transportation to obtain real-time survival items, limit the real-time survival items based on the survival rate demand in the supply demand as the demand threshold, and based on the path sorting set, the supply time set, and the path vibration set, acquire the maximum single-batch transportation volume during the aquatic product transportation process to obtain a single-batch capacity item, and further obtain a supply supply set; Judgment module: Judge whether the first supply quantity in the supply supply set meets the demand threshold. When it meets the demand threshold, use the path sorting set corresponding to the first in the supply supply set as the corresponding supply item for aquatic product scheduling. When it does not meet the demand threshold, sequentially acquire the sequential supply quantities in the supply supply set until the supply quantity meets the demand threshold, and use the path sorting set corresponding to the supply supply set with the supply quantity meeting the demand threshold as the corresponding supply item for aquatic product scheduling.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This AI-based intelligent scheduling method and system for the aquatic product supply chain accurately acquires supply demands, comprehensively considers quantity and survival rate requirements, and then determines the target location and supply location, effectively ensuring the pertinence and accuracy of aquatic product supply. When planning the supply route, sort the paths according to the distance and acquire the supply time, combine the vibration data, and comprehensively consider various factors during the aquatic product transportation process. By monitoring the survival rate of the target aquatic product during transportation and using the survival rate demand as the threshold for limitation, the survival probability of aquatic products during transportation is greatly improved, reducing losses. At the same time, accurately calculate the maximum single-batch transportation volume to form a supply supply set, ensuring the efficiency of each transportation. In the scheduling link, according to the matching situation between the supply quantity and the demand threshold, dynamically select the appropriate supply item for aquatic product scheduling, realizing the reasonable allocation of resources, improving the overall supply efficiency, and reducing costs. Description of the Drawings

[0016] Figure 1 It is a schematic diagram of the overall process of the present invention; Figure 2 It is a schematic diagram of the acquisition process of the screening path set of the present invention; Figure 3 Schematic diagram of information screening for the present invention; Figure 4 Schematic diagram of the supply time item for the present invention. Specific implementation manners

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] During the aquatic product transportation process, the existing supply chain management mode has limitations in intelligent transportation. It only depends on the distance for supply chain selection and ignores many key factors directly affecting the survival rate of aquatic products. Many factors have an important impact on the survival rate of aquatic products during transportation, mainly including transportation time, vibration intensity, and fish body density. First, the transportation time is negatively correlated with the survival rate of aquatic products. The longer the transportation time, the longer the aquatic products are exposed to adverse environments such as hypoxia and temperature changes, thus increasing the risk of death. Second, the vibration during transportation is another factor that cannot be ignored. Strong vibrations can cause physical damage to aquatic products, such as damaged internal organs and scale shedding. Finally, the fish body density is one of the important factors affecting the survival rate of aquatic products. In a limited transportation space, too high a fish body density will lead to oxygen deficiency in the water body and an increase in ammonia nitrogen concentration, deteriorating the water quality environment. However, the current supply chain selection often only depends on the distance, that is, selecting the supplier closest to the demand point. This simple selection method ignores the differences in transportation time, vibration intensity, water quality conditions, etc. among each supply chain. For example, although a certain supply chain is closer in distance, due to poor road conditions and backward vehicle equipment, the transportation time is prolonged and the vibration intensity increases, and finally the survival rate of aquatic products is actually lower than that of the supply chain farther away. The intelligent scheduling method for the aquatic product supply chain based on AI provided by the present application accurately obtains the supply demand, comprehensively considers the quantity and survival rate requirements, and then determines the target location and supply location, effectively ensuring the pertinence and accuracy of aquatic product supply. When planning the supply route, it sorts the paths according to the distance and obtains the supply time, combines the vibration data, and comprehensively considers various factors in the aquatic product transportation process. By monitoring the survival rate of the target aquatic product transportation and setting the survival rate requirement as the threshold for limitation, it greatly improves the survival probability of aquatic products during transportation, reduces losses. At the same time, it accurately calculates the maximum transportation volume per batch to form a supply supply set, ensuring the efficiency of each transportation. In the scheduling link, according to the matching situation between the supply quantity and the demand threshold, it dynamically selects the appropriate supply item for aquatic product scheduling, realizes the reasonable allocation of resources, improves the overall supply efficiency, and reduces costs, such as Figure 1As shown, it includes steps S100 - S700.

[0019] Step S100: Obtain supply requirements. The supply requirements include quantity requirements and survival rate requirements, obtain the quantity requirement items and survival requirement items, and based on the supply requirements, obtain the demand location to get the target location items.

[0020] It should be noted that when conducting the supply scheduling of aquatic products, the demand side will clearly indicate its quantity requirements and survival rate requirements. For example, a certain retailer needs one ton of a certain aquatic product and requires a survival rate of over 90%. Therefore, according to the specific supply requirements, the quantity requirements and survival rate requirements can be obtained, and at the same time, the target location items can be obtained based on the location of the demand side, which is convenient for positioning transportation.

[0021] Step S200: Based on the target location items, obtain the supply chain data information. The supply chain data information includes location information to get the supply location set.

[0022] It should be noted that the supply location set at least includes supply location items composed of the location information of at least one supply chain. Among many supply chains, obtain the location information of each supply chain and combine them to get the supply location set.

[0023] Step S300: Based on the supply location set and the target location items, obtain the supply routes to get the supply path set.

[0024] It should be noted that as Figure 2 shown, the method for obtaining the supply path set includes: using the target location items as the first feature points, using the supply location items as the second feature points, obtaining the path information between the first feature points and the second feature points to get the total path set; based on the supply location set, obtain the transportation information of the supply location items in the supply location set. The transportation information includes vehicle model information to get the supply vehicle items corresponding to the supply location items; obtain the driving requirement information of the supply vehicle items. The driving requirement information includes width requirements, judge whether the path information corresponding to the supply location items in the total path set meets the driving requirement information, set the path information that does not meet the driving requirement information as the excluded information to get the filtered path set, and use the filtered path set as the supply path set. Embodiment 1

[0025] In the specific implementation process, as Figure 3 shown, it is now obtained that a retailer located somewhere needs to conduct aquatic product scheduling, and the surrounding supply chain information is obtained. There are a total of four suppliers, numbered 1 - 4 respectively. Now, taking the location of the retailer as the first feature point and the locations of the four suppliers as the second feature points, the path information between the first feature point and the second feature points is obtained, as shown in Table 1: Table 1

[0026] There are two paths between the first vehicle and the first feature point, labeled 11 and 12, with widths of 2m and 3.5m respectively; there is one path between the second vehicle and the first feature point, labeled 21, with a width of 5.5m; there are three paths between the third vehicle and the first feature point, labeled 31, 32, and 33, with widths of 2m, 2m, and 5.5m respectively; there is one path between the fourth vehicle and the first feature point, labeled 41, with a width of 3.5m. At this time, the vehicle model information of the first and third vehicles is obtained as van, and the driving demand information is 2.5m. The vehicle model information of the second and fourth vehicles is obtained as agricultural tricycle, and the driving demand information is 2m. At this time, the total set of paths has seven in total, namely 11, 12, 21, 31, 32, 33, and 41. According to the driving demand information, it is found that the width of 11 does not meet the driving demand information of the vehicle model of the first vehicle, and 31 and 32 do not meet the driving demand information of the vehicle model of the third vehicle. Therefore, 11, 31, and 32 are set as the exclusion information, and the filtered path set is obtained, that is, 12, 21, 33, and 41. At this time, the supply path set has four in total.

[0027] Step S400: Sort the supply path set based on the order of the paths from near to far to obtain a path sorting set, and obtain the supply time of the path sorting set to obtain a supply time set.

[0028] It should be noted that the method for obtaining the supply time set includes: setting a first judgment threshold, the first judgment threshold is a time threshold, and the set time threshold is 10 days to obtain a first judgment time item; obtaining the pick-up and delivery vehicle information of the supply location set in the path sorting set to obtain a first target vehicle item, and obtaining the status information of the first target vehicle item to obtain a first delivery status item and a first pick-up status item; based on the first judgment time item, obtaining the average delivery time of the first target vehicle item based on the first delivery status item to obtain a supply time item, and the supply time items correspond to the supply routes in the path sorting set respectively, and the supply time items are combined to obtain a supply time set. Embodiment 2

[0029] In the specific implementation process, such as Figure 4As shown in the figure, it is now obtained that a retailer located somewhere needs to conduct aquatic product scheduling and obtain the surrounding supply chain information. There are a total of four suppliers, numbered 1-4 respectively, and there are also four paths, numbered 111, 222, 333, and 444 respectively, corresponding to the four suppliers. Among them, the length of path 111 is 180 km, the length of path 222 is 190 km, the length of path 333 is 156 km, and the length of path 444 is 210 km. At this time, the supply path set is sorted based on the order of the paths from near to far to obtain a path sorting set, which is 333>111>222>444. The pick-up and delivery vehicle information in the path sorting set is obtained as all van trucks, and a first target vehicle item is obtained. Based on the set first judgment time item of 10 days, the average delivery time of the first target vehicle item based on the first delivery status item is obtained. Among them, the average delivery time of path 111 is 3 h, the average delivery time of path 222 is 2 h 43 min, the average delivery time of path 333 is 2 h 24 min, and the average delivery time of path 444 is 2 h 37.5 min. A supply time item is obtained, and the supply time items correspond to the supply routes in the path sorting set respectively. The supply time items are combined to obtain a supply time set.

[0030] It should be noted that the method for obtaining the supply time set also includes: obtaining real-time time information to obtain a real-time time item, setting a second judgment threshold based on the real-time time item, where the second judgment threshold is a fixed number threshold of 3 times to obtain a second judgment time item; obtaining the pick-up and delivery vehicle information of the supply location set in the path sorting set to obtain a second target vehicle item, and obtaining the status information of the second target vehicle item to obtain a second delivery status item and a second pick-up status item; based on the second judgment time item, obtaining the average delivery time of the second target vehicle item based on the delivery status item to obtain a supply time item, where the supply time items correspond to the supply routes in the path sorting set respectively. The supply time items are combined to obtain a supply time set.

[0031] Specifically, since the traffic status of the path is different in different time periods, for example, during holidays, the path will be congested, thereby increasing the travel duration. At this time, according to the real-time obtained time information and the set fixed number threshold of three times, the average delivery time of the second target vehicle item based on the delivery status item at the time when the first three times in the past information are the same as the real-time obtained time information is obtained, and then the supply time set is calculated.

[0032] Step S500: Obtain the vibration data of the path corresponding to the path sorting set during the aquatic product transportation process to obtain a path vibration set.

[0033] It should be noted that the method for obtaining the path vibration set includes: obtaining the pick-up and delivery vehicle information corresponding to the supply position set and the target position item in the path sorting set to obtain the supply vehicle item; based on the supply vehicle item, setting at least two vibration acquisition devices, where the vibration acquisition device is a vibration sensor, and determining the supply route corresponding to the supply vehicle item during the aquatic product transportation state to obtain the target route item; based on the vibration acquisition device, obtaining the average vibration information of the target route item to obtain the target vibration item; setting an acquisition period, where the acquisition period is a time period, and the set acquisition period is 10 days, setting the target supply time based on the supply time set, setting the fluctuation threshold based on the target supply time, where the fluctuation threshold is ±10%, and obtaining the average vibration data of the target vibration item that does not exceed the target supply time fluctuation threshold according to the acquisition period to obtain the average vibration item, and the average vibration item corresponds to the supply route in the path sorting set respectively, thereby obtaining the path vibration set. Embodiment III

[0034] In the specific implementation process, it is now obtained that a retailer located somewhere needs to conduct aquatic product scheduling, and its surrounding supply chain information is obtained. There are a total of four suppliers, labeled a - d respectively, and there are also four paths, labeled aa, bb, cc, dd respectively, corresponding to the four suppliers. The pick-up and delivery vehicle information obtained from the path sorting set are all van trucks, obtaining the supply vehicle item, and obtaining the average delivery time of the supply vehicle item. Among them, the average delivery time of the aa path is 150 min, the average delivery time of the bb path is 180, the average delivery time of the cc path is 160, and the average delivery time of the dd path is 200, obtaining the supply time set. According to the set fluctuation threshold of ±10%, at this time, the delivery time range of the aa path is 135 - 165 min, the delivery time range of the bb path is 160 - 198 min, the delivery time range of the cc path is 144 - 176 min, and the delivery time range of the dd path is 180 - 220 min. According to the set acquisition period of 10 days, obtain the average vibration data when the supply vehicle item travels in the four paths within the set delivery time range, obtaining the average vibration item, as shown in Table 2: Table 2

[0035] Obtain the average vibration data when the supply vehicle item travels in the four paths within the set delivery time range. Among them, there are three batches of driving records for each of the aa, bb, cc, and dd paths within the acquisition period, and then obtain the average vibration item according to the three batches of driving records.

[0036] S600: Obtain the survival rate data of the target aquatic product during transportation to obtain the real-time survival item.

[0037] It should be noted that based on the survival rate requirement in the supply demand as the demand threshold, the real-time survival items are defined. Based on the path sorting set, supply time set, and path vibration set, the maximum single-batch transportation volume during the aquatic product transportation process is obtained to get the single-batch capacity item, and then the supply set is obtained. The supply set corresponds to the path sorting set respectively.

[0038] It should be noted that the method for obtaining real-time survival items includes: ; where is the real-time survival item, is the initial survival information, is the transportation time influence information, is the transportation vibration influence information, is the transportation density influence information; ; where is the Euler's constant, is the time decay coefficient, obtained by fitting experimental data and based on the survival rate of aquatic products under the influence of time only. The calibration value is 0.015, is the transportation time, is the non-linear exponent, used to represent the cumulative effect of hypoxia, and the value is 1.3; ; where is the vibration sensitivity coefficient, obtained by fitting experimental data and based on the survival rate of aquatic products under the influence of vibration only. The calibration value is 0.4, is the vibration acceleration, is the vibration non-linear factor, used to represent the secondary effect of mechanical damage, and the value is 2.0; ; where is the density inhibition coefficient, obtained by fitting experimental data and based on the survival rate of aquatic products under the influence of density only. The calibration value is 0.0008, is the fish body density, is the density sensitivity index, and the value is 1.8, is the oxygen competition factor, negatively correlated with the oxygenation ability of the transportation container, and the value is 1.0. Example 4

[0039] In the specific implementation process, a retailer needs 450 kg of aquatic product supply and requires a survival rate greater than 80%. At this time, it is obtained that there are two supply chains in total from the supply chain to this retailer. One has a transportation duration of 5 h, and the average vibration item obtained is 0.3 m / s 2 , that is is 5 h, is 0.3 m / s 2 When the packing plan of the supply chain adopts 90 kg / m 3 At this time, according to the formula: ; ; ; ; It is calculated that: ; That is, the final survival rate is 83%, meeting the demand threshold, and the single-batch capacity item is 90 kg / m 3 ; A transportation duration is 9 h, and by obtaining the average vibration item as 0.2 m / s 2 That is is 9 h is 0.2 m / s 2 When the packing plan of the supply chain adopts 60 kg / m 3 At this time, according to the formula: ; ; ; ; It is calculated that; ; That is, the final survival rate is 81%, meeting the demand threshold, and the single-batch capacity item is 60 kg / m 3 .

[0040] Step S700: Determine whether the first supply quantity in the supply supply set meets the demand threshold.

[0041] It should be noted that when the demand threshold is met, the path sorting set corresponding to the first in the supply supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequential supply quantities in the supply supply set are obtained in turn until the supply quantity meets the demand threshold. The path sorting set corresponding to the supply supply set with the supply quantity meeting the demand threshold is used as the corresponding supply item for aquatic product scheduling to obtain the comprehensive scheduling item, and intelligent distribution scheduling is carried out considering the survival of aquatic products.

[0042] Specifically, when the demand threshold is 450 kg and the first supply quantity in the supply set is 500 kg, the demand threshold is met at this time. When the first supply quantity in the supply set is 400 kg, the demand threshold is not met. The sequential supply quantities in the supply set are obtained in turn until the supply quantity meets the demand threshold.

[0043] It should be noted that the method for obtaining the supply set includes: obtaining the pick-up and delivery vehicle information corresponding to the supply position set and the target position item in the path sorting set to obtain the transport vehicle item; obtaining the capacity information of the transport vehicle item to obtain the target capacity item; based on the combination result of the target capacity item and the single-batch capacity item, obtaining the maximum supply quantity of the transport vehicle item to obtain the maximum transport item. The maximum transport items correspond to the supply position set respectively, and the maximum transport items are combined to obtain the supply set. Embodiment Five

[0044] In the specific implementation process, a retailer needs 430 kg of aquatic product supply and requires a survival rate greater than 80%. At this time, the selected corresponding supply item has a transport duration of 5 h, and the average vibration item is obtained as 0.3 m / s 2 , when the packing scheme of the supply chain adopts 90 kg / m 3 , the calculated final survival rate is 83%, meeting the demand threshold, and the single-batch capacity item is 90 kg / m 3 , when the capacity information of the transport vehicle item obtained is 6 m 3 , based on the combination result of the target capacity item and the single-batch capacity item, the maximum supply quantity of the transport vehicle item is obtained as 540 kg, that is, the maximum transport item is 540 kg.

[0045] The AI-based intelligent scheduling system for the aquatic product supply chain uses the above-mentioned AI-based intelligent scheduling method for the aquatic product supply chain, including: an acquisition module: acquiring supply demands, where the supply demands include quantity demands and survival rate demands, obtaining quantity demand items and survival demand items, acquiring the demand location based on the supply demands to obtain target location items, and acquiring supply chain data information based on the target location items, where the supply chain data information includes location information to obtain a supply location set; a calculation module: acquiring supply routes based on the supply location set and the target location items to obtain a supply path set, sorting the supply path set in ascending order of the distance of the routes to obtain a path sorting set, acquiring the supply times of the path sorting set to obtain a supply time set, and acquiring the vibration data during the aquatic product transportation for the paths corresponding to the path sorting set to obtain a path vibration set; a processing module: acquiring the survival rate data of the target aquatic product during transportation to obtain real-time survival items, limiting the real-time survival items based on the survival rate demand in the supply demands as the demand threshold, and acquiring the maximum single-batch transportation volume during the aquatic product transportation based on the path sorting set, the supply time set, and the path vibration set to obtain single-batch capacity items, and further obtaining a supply supply set; a judgment module: judging whether the first supply quantity in the supply supply set meets the demand threshold. When it meets the demand threshold, using the path sorting set corresponding to the first position in the supply supply set as the corresponding supply item for aquatic product scheduling. When it does not meet the demand threshold, sequentially acquiring the sequential supply quantities in the supply supply set until the supply quantity meets the demand threshold, and using the path sorting set corresponding to the supply supply set with the supply quantity meeting the demand threshold as the corresponding supply item for aquatic product scheduling.

[0046] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. An AI-based intelligent scheduling method for the aquatic product supply chain, characterized in that, Including: Obtain supply requirements, where the supply requirements include quantity requirements and survival rate requirements, obtain the quantity requirement items and the survival requirement items, and based on the supply requirements, obtain the demand location to get the target location items; Based on the target location items, obtain supply chain data information, where the supply chain data information includes location information, to get a supply location set, and the supply location set at least includes supply location items composed of location information of at least one supply chain; Based on the supply location set and the target location items, obtain supply routes to get a supply path set, sort the supply path set in the order from near to far based on the paths to get a path sorting set, and obtain the supply time of the path sorting set to get a supply time set; Obtain the vibration data of the corresponding path in the aquatic product transportation process of the path sorting set to get a path vibration set; Obtain the survival rate data of the target aquatic product during the transportation process to get a real-time survival item, limit the real-time survival item based on the survival rate requirement in the supply requirements as the demand threshold, and based on the path sorting set, the supply time set and the path vibration set, obtain the maximum single-batch transportation volume in the aquatic product transportation process to get a single-batch capacity item, and further obtain a supply supply set, and the supply supply set corresponds to the path sorting set respectively; Judge whether the first supply quantity of the supply supply set meets the demand threshold. When it meets the demand threshold, use the path sorting set corresponding to the first place of the supply supply set as the corresponding supply item for aquatic product scheduling. When it does not meet the demand threshold, sequentially obtain the sequential supply quantities of the supply supply set until the supply quantity meets the demand threshold, and use the path sorting set corresponding to the supply supply set with the supply quantity meeting the demand threshold as the corresponding supply item for aquatic product scheduling to get a comprehensive scheduling item, and perform intelligent distributed scheduling considering the survival of aquatic products.

2. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, wherein: The acquisition method of the real-time survival item includes: ； Among them is the real-time survival item, is the initial survival information, is the conveying time influence information, is the conveying vibration influence information, is the conveying density influence information; ； where is the Euler constant, is the time decay coefficient, is the conveying time, is the non-linear exponent, used to represent the cumulative effect of hypoxia; ； wherein is the vibration sensitivity coefficient, is the vibration acceleration, is the vibration non-linearity factor, which is used to represent the secondary effect of mechanical damage; ； wherein is the density inhibition coefficient, is the fish body density, is the density sensitivity index, is the oxygen competition factor, which is negatively correlated with the oxygenation capacity of the transportation container.

3. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, characterized in that: The acquisition method of the supply path set includes: Based on the target location item as the first feature point and the supply location item as the second feature point, obtain the path information between the first feature point and the second feature point to get a total path set; Based on the supply location set, obtain the transportation information of the supply location items in the supply location set, where the transportation information includes vehicle model information, to get supply vehicle items corresponding to the supply location items; Obtain the driving demand information of the supply vehicle items, judge whether the path information corresponding to the supply location items in the total path set meets the driving demand information, set the path information that does not meet the driving demand information as excluded information to get a filtered path set, and use the filtered path set as the supply path set.

4. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, characterized in that: The acquisition method of the supply time set includes: Set a first judgment threshold, where the first judgment threshold is a time threshold, to get a first judgment time item; Obtain the pick-up and delivery vehicle information of the supply location set in the path sorting set to get a first target vehicle item, and obtain the status information of the first target vehicle item to get a first delivery status item and a first pick-up status item; Based on the first judgment time item, obtain the average delivery time of the first target vehicle item based on the first delivery status item to get a supply time item, and the supply time item corresponds to the supply routes in the path sorting set respectively, and the supply time items are combined to get a supply time set.

5. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, characterized in that: The acquisition method of the supply time set further includes: Obtain real-time time information to get real-time time items, set a second judgment threshold based on the real-time time items, where the second judgment threshold is a fixed number threshold, and obtain a second judgment time item; Obtain the pick-up and delivery vehicle information of the supply location set in the path sorting set to get a second target vehicle item, and obtain the status information of the second target vehicle item to get a second delivery status item and a second pick-up status item; Based on the second judgment time item, obtain the average delivery time of the second target vehicle item based on the delivery status item to get a supply time item. The supply time items correspond to the supply routes in the path sorting set respectively, and the supply time items are combined to obtain a supply time set.

6. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, wherein: The method for obtaining the path vibration set includes: Obtain the pick-up and delivery vehicle information corresponding to the supply location set and the target location item in the path sorting set to get a supply vehicle item; Based on the supply vehicle item, set at least two vibration acquisition devices, and judge the supply route corresponding to the supply vehicle item when it is in the aquatic product transportation state to get a target route item; Obtain the average vibration information of the target route item based on the vibration acquisition device to get a target vibration item; Set an acquisition period, where the acquisition period is a time period. Based on the supply time set, set a target supply time. Based on the target supply time, set a fluctuation threshold. According to the acquisition period, obtain the average vibration data of the target vibration item that does not exceed the target supply time fluctuation threshold to get an average vibration item. The average vibration items correspond to the supply routes in the path sorting set respectively, and thus obtain a path vibration set.

7. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, wherein: The method for obtaining the supply supply set includes: Obtain the pick-up and delivery vehicle information corresponding to the supply location set and the target location item in the path sorting set to get a transportation vehicle item; Obtain the capacity information of the transportation vehicle item to get a target capacity item; Based on the combination result of the target capacity item and the single-batch capacity item, obtain the maximum supply quantity of the transportation vehicle item to get a maximum transportation item. The maximum transportation items correspond to the supply location set respectively, and the maximum transportation items are combined to obtain a supply supply set.

8. The AI-based intelligent scheduling method for the aquatic product supply chain according to claim 1, wherein: The aquatic product scheduling includes time scheduling and speed scheduling. The method for obtaining the comprehensive scheduling item includes: Obtain the supply time corresponding to the corresponding supply item in the supply time set to get a restricted time item; Obtain the vibration data corresponding to the corresponding supply item in the path vibration set to get a restricted vibration item. Based on the restricted vibration item, obtain the corresponding transportation speed to get a restricted speed item; The restricted time item and the restricted speed item are combined to obtain a comprehensive scheduling item.

9. The AI-based intelligent scheduling system for the aquatic product supply chain is characterized in that: Using the AI-based intelligent scheduling method for the aquatic product supply chain according to any one of claims 1-8, including: Acquisition module: Obtain supply demands, where the supply demands include quantity demands and survival rate demands, to get a quantity demand item and a survival demand item. Based on the supply demands, obtain the demand location to get a target location item. Based on the target location item, obtain the supply chain data information, where the supply chain data information includes location information, to get a supply location set; Calculation module: Based on the set of supply locations and the target location item, obtain the supply routes, get the set of supply paths, sort the set of supply paths in the order from near to far, obtain the sorted path set, obtain the supply time of the sorted path set, get the supply time set, and obtain the vibration data of the corresponding paths in the aquaculture transportation process of the sorted path set, get the path vibration set; Processing module: Obtain the survival rate data of the target aquaculture during transportation, get the real-time survival item, limit the real-time survival item based on the survival rate requirement in the supply demand as the demand threshold, and obtain the maximum single-batch transportation volume in the aquaculture transportation process based on the sorted path set, the supply time set, and the path vibration set, get the single-batch capacity item, and further obtain the supply set; Judgment module: Judge whether the first supply volume in the supply set meets the demand threshold. When it meets the demand threshold, use the sorted path set corresponding to the first place in the supply set as the corresponding supply item for aquaculture scheduling. When it does not meet the demand threshold, sequentially obtain the sequential supply volumes in the supply set until the supply volume meets the demand threshold, and use the sorted path set corresponding to the supply set with the supply volume that meets the demand threshold as the corresponding supply item for aquaculture scheduling.

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