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

Abstract

The present invention discloses an AI-based intelligent scheduling method and system for aquatic product supply chain, which relates to the field of supply scheduling technology. It includes: obtaining supply demand, the supply demand includes quantity demand and survival rate demand, obtaining quantity demand items and survival demand items, obtaining demand positions based on the supply demand, and obtaining target position items; based on the target position items, obtaining supply chain data information, the supply chain data information includes position information, and obtaining a supply position set, the supply position set includes at least one supply position item composed of the position information of the supply chain. When planning the supply route, the present invention 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 target aquatic product transportation survival rate and limiting it with the survival rate demand as the threshold, the survival rate of the aquatic product during transportation is greatly improved, and the loss is reduced.

Description

Technical Field

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

[0002] Aquatic products refer to a general term for aquatic plants and animals, mainly including various aquatic animals such as fish, shrimp, crab, shellfish, sea urchins, sea cucumbers, and some aquatic plants. The aquatic supply chain refers to the entire process from the breeding and fishing of aquatic organisms to processing, storage, transportation, wholesale, retail, and finally to the hands of consumers. The scheduling of the aquatic 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 sales to ensure that aquatic products can reach the terminal market on time, in quantity, and in accordance with quality requirements. This includes allocating resources, optimizing routes, controlling inventory, arranging delivery times, etc. Therefore, the supply chain needs to be scheduled according to actual needs.

[0003] Patent publication number CN108537338A is a disaster rescue emergency resource scheduling method based on a multi-agent genetic algorithm. It uses an intelligent body grid as the initialization population, reduces the number of iterations in the optimization process, and quickly finds the optimal emergency resource scheduling plan. It overcomes the shortcomings of slow convergence speed and a large number of iterations of traditional methods in the existing technology, accelerates the convergence speed of optimizing emergency resource scheduling, shortens the time spent on emergency resource scheduling, performs neighborhood competition operations, neighborhood intersection operations, and mutation operations on the intelligent body grid, narrows the search space for optimizing the emergency resource scheduling network, and accelerates the optimization process of the emergency resource scheduling network. It overcomes the shortcomings of large search space and large computational complexity of traditional methods in the existing technology, narrows the search space, and greatly reduces the computational complexity of the optimization process.

[0004] In actual use of the above and similar technical solutions, the survival rate of aquatic products during transportation is related to many factors, including transportation time, whether vibration occurs during transportation, and the density of the fish body. The longer the transportation time, the stronger the vibration during transportation, and the greater the fish body density, the lower the survival rate of aquatic products. There is more than one supply chain for aquatic products. When there is supply demand, the existing technology cannot integrate the various supply chains for intelligent transportation based on the positional relationship of the supply chain and the conditional relationship during the transportation process. The supply chain is only unilaterally selected 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 AI-based intelligent scheduling method and system for aquatic product supply chain to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an AI-based intelligent scheduling method for aquatic product supply chain, comprising:

[0007] Obtain supply demand, which includes quantity demand and survival rate demand, to obtain quantity demand items and survival demand items, obtain demand position based on supply demand, and obtain target position item;

[0008] Based on the target location item, supply chain data information is obtained, the supply chain data information includes location information, and a supply location set is obtained, the supply location set includes at least one supply location item composed of location information of the supply chain;

[0009] Based on the supply location set and the target location item, the supply route is obtained to obtain a supply path set, the supply path set is sorted based on the order of the paths from near to far to obtain a path sorting set, and the supply time of the path sorting set is obtained to obtain a supply time set;

[0010] Obtain vibration data of the paths corresponding to the path sorting set during the aquatic product transportation process to obtain a path vibration set;

[0011] Obtain the survival rate data of the target aquatic products during transportation to obtain the real-time survival item. Based on the survival rate requirement in the supply demand as the demand threshold, the real-time survival item is limited. Based on the path sorting set, supply time set, and path vibration set, the maximum single-batch transportation volume of the aquatic products during transportation is obtained to obtain the single-batch capacity item, and then the supply supply set is obtained. The supply supply set corresponds to the path sorting set respectively.

[0012] Determine whether the first supply quantity of the supply supply set meets the demand threshold. When the demand threshold is met, the path sorting set corresponding to the first supply quantity in the supply supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequence supply quantities of the supply supply set are obtained in sequence until the supply quantity meets the demand threshold. The path sorting set corresponding to the supply supply set that meets the demand threshold supply quantity is used as the corresponding supply item for aquatic product scheduling to obtain a comprehensive scheduling item, and intelligent distribution scheduling is performed by comprehensively considering the survival of aquatic products.

[0013] Furthermore, the method for obtaining the real-time survival item includes:

[0014] ;

[0015] in is the real-time survival item, is the initial survival information, To transmit time-affecting information, To transmit vibration impact information, To convey density influence information;

[0016] ;

[0017] in is Euler's constant, is the time attenuation coefficient, For delivery time, It is a nonlinear index used to represent the cumulative effect of hypoxia;

[0018] ;

[0019] in is the vibration sensitivity coefficient, is the vibration acceleration, is the vibration nonlinear factor, which is used to represent the secondary effect of mechanical damage;

[0020] ;

[0021] in is the density suppression coefficient, is the fish body density, is the density sensitivity index, It is an oxygen competition factor and is negatively correlated with the oxygen enrichment capacity of the transport container.

[0022] Furthermore, the method for obtaining the supply path set includes:

[0023] Based on the target location item as the first feature point and the supply location item as the second feature point, path information of the first feature point and the second feature point is obtained to obtain a total path set;

[0024] Based on the supply location set, obtaining transportation information of the supply location item in the supply location set, the transportation information including vehicle model information, and obtaining the supply vehicle item corresponding to the supply location item;

[0025] Obtain the driving demand information of the supply vehicle item, determine whether the path information corresponding to the supply location item in the total path set meets the driving demand information, set the path information that does not meet the driving demand information as elimination information, obtain the filtered path set, and use the filtered path set as the supply path set.

[0026] Furthermore, the method for obtaining the supply time set includes:

[0027] Setting a first judgment threshold, where the first judgment threshold is a time threshold, and obtaining a first judgment time item;

[0028] Obtaining the delivery and pick-up vehicle information of the supply location set in the path sorting set, obtaining a first target vehicle item, obtaining the status information of the first target vehicle item, obtaining a first delivery status item and a first pickup status item;

[0029] Based on the first judgment time item, the average delivery time of the first target vehicle item based on the first delivery status item is obtained to obtain the 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 the supply time set.

[0030] Furthermore, the method for obtaining the supply time set further includes:

[0031] Acquire real-time time information to obtain a real-time time item, set a second judgment threshold based on the real-time time item, the second judgment threshold being a fixed number threshold, and obtain a second judgment time item;

[0032] Obtaining the delivery and pick-up vehicle information of the supply location set in the path sorting set, obtaining a second target vehicle item, obtaining the status information of the second target vehicle item, obtaining a second delivery status item and a second pickup status item;

[0033] Based on the second judgment time item, the average delivery time of the second target vehicle item based on the delivery status item is obtained to obtain the 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 the supply time set.

[0034] Furthermore, the method for obtaining the path vibration set includes:

[0035] 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 obtain the supply vehicle item;

[0036] Based on the supply vehicle item, at least two vibration acquisition devices are set to determine the supply route corresponding to the supply vehicle item when it is in the aquatic product transportation state, and obtain the target route item;

[0037] acquiring average vibration information of a target route item based on a vibration acquisition device to obtain a target vibration item;

[0038] Set an acquisition period, which is a time period. Set a target supply time based on the supply time set. Set a fluctuation threshold based on the target supply time. 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 routes in the path sorting set, and then obtain the path vibration set.

[0039] Furthermore, the method for obtaining the supply supply set includes:

[0040] Obtain the pick-up and delivery vehicle information corresponding to the supply location set and the target location item in the path sorting set, and obtain the delivery vehicle item;

[0041] Obtain the capacity information of the transport vehicle item and obtain the target capacity item;

[0042] Based on the combination results of the target capacity item and the single batch capacity item, the maximum supply quantity of the transport vehicle item is obtained, and the maximum transport item is obtained. The maximum transport items correspond to the supply location set respectively, and the maximum transport items are combined to obtain the supply supply set.

[0043] Furthermore, the aquatic product scheduling includes time scheduling and speed scheduling, and the method for obtaining the comprehensive scheduling items includes:

[0044] Obtain the supply time corresponding to the corresponding supply item in the supply time set to obtain the restricted time item;

[0045] Acquire vibration data corresponding to the corresponding supply item in the path vibration set to obtain a limited vibration item, and acquire a corresponding conveying speed based on the limited vibration item to obtain a limited speed item;

[0046] The time limit item and the speed limit item are combined to obtain the comprehensive scheduling item.

[0047] Furthermore, the AI-based aquatic product supply chain intelligent scheduling system uses the above-mentioned AI-based aquatic product supply chain intelligent scheduling method, including:

[0048] Acquisition module: Acquire supply demand, which includes quantity demand and survival rate demand, obtain quantity demand items and survival demand items, obtain demand location based on supply demand, obtain target location item, obtain supply chain data information based on target location item, the supply chain data information includes location information, and obtain supply location set;

[0049] Calculation module: Based on the supply location set and the target location item, the supply route is obtained to obtain the supply path set; the supply path set is sorted based on the order of the paths from near to far to obtain the path sorting set; the supply time of the path sorting set is obtained to obtain the supply time set; the vibration data of the paths corresponding to the path sorting set during the aquatic product transportation process is obtained to obtain the path vibration set;

[0050] Processing module: Obtain the survival rate data of the target aquatic products during transportation, obtain the real-time survival item, use the survival rate requirement in the supply demand as the demand threshold, limit the real-time survival item, obtain the maximum single-batch transportation volume of the aquatic products during transportation based on the path sorting set, supply time set, and path vibration set, obtain the single-batch capacity item, and then obtain the supply supply set;

[0051] Judgment module: judge whether the supply quantity of the first supply set meets the demand threshold. When the demand threshold is met, the path sorting set corresponding to the first supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequence supply quantities of the supply set are obtained in sequence until the supply quantity meets the demand threshold, and the path sorting set corresponding to the supply set that meets the demand threshold supply quantity is used as the corresponding supply item for aquatic product scheduling.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] This AI-based intelligent scheduling method and system for aquatic product supply chain accurately obtains supply demand, 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, the paths are sorted according to distance and the supply time is obtained. Combined with vibration data, various factors in the aquatic product transportation process are comprehensively considered. By monitoring the survival rate of target aquatic product transportation and limiting it with the survival rate requirement as the threshold, the survival rate of aquatic products during transportation is greatly improved, and losses are reduced. At the same time, the maximum transportation volume of a single batch is accurately calculated to form a supply supply set, ensuring the efficiency of each transportation. In the scheduling link, according to the matching of supply volume and demand threshold, the appropriate supply item is dynamically selected for aquatic product scheduling, realizing the rational allocation of resources, improving overall supply efficiency and reducing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0055] Figure 2 A schematic diagram of a process for obtaining a screening path set of the present invention;

[0056] Figure 3 This is a schematic diagram of information screening according to the present invention;

[0057] Figure 4 It is a schematic diagram of the supply time item of the present invention. DETAILED DESCRIPTION

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0059] During the transportation of aquatic products, the existing supply chain management model has limitations in terms of intelligent transportation. It relies solely on distance to select supply chains, ignoring many key factors that directly affect the survival rate of aquatic products. Many factors have a significant impact on the survival rate of aquatic products during transportation, mainly including transportation time, vibration intensity and fish density. First, 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, thereby increasing the risk of death. Secondly, vibration during transportation is another factor that cannot be ignored. Strong vibration can cause physical damage to aquatic products, such as damage to internal organs and loss of scales. Finally, fish density is one of the important factors affecting the survival rate of aquatic products. In a limited transportation space, excessive fish density can lead to hypoxia in the water, increased ammonia nitrogen concentration, and deterioration of the water quality environment. However, the current supply chain selection is often based solely on distance, that is, choosing the supplier closest to the demand point. This simple selection method ignores the differences between various supply chains in terms of transportation time, vibration intensity, water quality conditions, etc. For example, although a supply chain is relatively close, due to poor road conditions and backward vehicle equipment, the transportation time is extended and the vibration intensity increases. Ultimately, the survival rate of aquatic products is lower than that of supply chains that are farther away. The AI-based intelligent scheduling method for aquatic product supply chain provided by this application accurately obtains supply demand, 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, the paths are sorted according to distance and the supply time is obtained. Combined with vibration data, various factors in the aquatic product transportation process are comprehensively considered. By monitoring the survival rate of the target aquatic product transportation and limiting it with the survival rate requirement as the threshold, the survival rate of aquatic products in the transportation process is greatly improved, and the loss is reduced. At the same time, the maximum transportation volume of a single batch is accurately calculated to form a supply supply set, ensuring the efficiency of each transportation. In the scheduling link, according to the matching of the supply volume and the demand threshold, the appropriate supply item is dynamically selected for aquatic product scheduling, realizing the rational allocation of resources, improving the overall supply efficiency, and reducing costs. Figure 1 As shown, steps S100-S700 are included.

[0060] Step S100: Obtain supply demand, which includes quantity demand and survival rate demand, to obtain quantity demand items and survival demand items, obtain demand location based on the supply demand, and obtain target location item.

[0061] It should be noted that when scheduling the supply of aquatic products, the demander will clearly indicate their quantity requirements and survival rate requirements. For example, a retailer needs one ton of a certain aquatic product and requires a survival rate of more than 90%. Therefore, the quantity requirements and survival rate requirements can be obtained based on the specific supply requirements. At the same time, the target location item can be obtained based on the location of the demander, which facilitates positioning and transportation.

[0062] Step S200: Based on the target location item, obtain supply chain data information, the supply chain data information includes location information, and obtain a supply location set.

[0063] It should be noted that the supply location set includes at least one supply location item consisting of the location information of a supply chain. Among numerous supply chains, the location information of each supply chain is obtained and combined to obtain the supply location set.

[0064] Step S300: Based on the supply location set and the target location item, the supply route is acquired to obtain a supply path set.

[0065] It should be noted that if Figure 2 As shown, 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, obtaining the path information of the first feature point and the second feature point to obtain the total path set; based on the supply location set, obtaining the transportation information of the supply location item in the supply location set, the transportation information includes vehicle model information, and obtaining the supply vehicle item corresponding to the supply location item; obtaining the driving demand information of the supply vehicle item, the driving demand information includes the width demand, judging whether the path information corresponding to the supply location item in the total path set meets the driving demand information, setting the path information that does not meet the driving demand information as elimination information, obtaining the filtered path set, and using the filtered path set as the supply path set. Example 1

[0066] In the specific implementation process, Figure 3 As shown in Figure 1, we have obtained that a retailer located somewhere needs to conduct aquatic product scheduling, and we have obtained the surrounding supply chain information. There are four suppliers in total, numbered 1-4. We now use the retailer's location as the first feature point and the locations of the four suppliers as the second feature points to obtain the path information of the first and second feature points, as shown in Table 1:

[0067] Table 1

[0068]

[0069] There are two paths between No. 1 and the first feature point, numbered 11 and 12, with widths of 2m and 3.5m respectively; there is one path between No. 2 and the first feature point, numbered 21, with a width of 5.5m; there are three paths between No. 3 and the first feature point, numbered 31, 32, and 33, with widths of 2m, 2m, and 5.5m respectively; there is one path between No. 4 and the first feature point, numbered 41, with a width of 3.5m. At this time, the vehicle model information obtained for No. 1 and No. 3 is a van, and the driving requirement information is 2.5m. No. 2 The vehicle model information of number four is an agricultural tricycle, and the driving demand information is 2m. At this time, the total path set has seven items, 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 information of number one, and 31 and 32 do not meet the driving demand information of the vehicle model information of number three. Therefore, 11, 31, and 32 are set as elimination information, and the filtered path set is obtained, namely 12, 21, 33, and 41. At this time, there are a total of four supply path sets.

[0070] Step S400: sorting the supply path set based on the order of paths from near to far to obtain a path sorting set, obtaining the supply time of the path sorting set to obtain a supply time set.

[0071] It should be noted that the method for obtaining the supply time set includes: setting a first judgment threshold, which 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, obtaining the status information of the first target vehicle item, obtaining a first delivery status item and a first delivery 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, the supply time items respectively correspond to the supply routes in the path sorting set, and the supply time items are combined to obtain a supply time set. Example 2

[0072] In the specific implementation process, Figure 4As shown, we have obtained that a retailer located somewhere needs to dispatch aquatic products, and we have obtained the surrounding supply chain information. There are four suppliers in total, numbered 1-4, and there are four paths, numbered 111, 222, 333, and 444, corresponding to the four suppliers respectively. The length of path 111 is 180km, the length of path 222 is 190km, the length of path 333 is 156km, and the length of path 444 is 210km. At this time, we sort the supply path set based on the order of paths from near to far, and get the path sorting set, which is 333>111>222>444. The pick-up and delivery vehicle information in the path sorting set are all vans, and the 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 3h, the average delivery time of path 222 is 2h43mim, the average delivery time of path 333 is 2h24min, and the average delivery time of path 444 is 2h37.5min. The supply time item is obtained. The supply time items correspond to the supply routes in the path sorting set respectively, and the supply time items are combined to obtain the supply time set.

[0073] 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, the second judgment threshold is a fixed number threshold, which is 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, 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, 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.

[0074] Specifically, since the traffic status of the path is different in different time periods, for example, during holidays, the path will be congested, which will increase the travel time. At this time, based on the real-time time information obtained 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 of the first three times in the past information that is consistent with the real-time time information is obtained, and then the supply time set is calculated.

[0075] Step S500: Obtain vibration data of the paths corresponding to the path sorting set during the aquatic product transportation process to obtain a path vibration set.

[0076] 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 location set and the target location 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, the vibration acquisition device is a vibration sensor, judging the supply route corresponding to the supply vehicle item when it is in the aquatic product transportation state, and obtaining the target route item; obtaining the average vibration information of the target route item based on the vibration acquisition device to obtain the target vibration item; setting an acquisition period, the acquisition period is a time period, the set acquisition period is 10 days, based on the supply time set, setting the target supply time, and setting the fluctuation threshold based on the target supply time, 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 items correspond to the supply routes in the path sorting set respectively, thereby obtaining the path vibration set. Example 3

[0077] In the specific implementation process, 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 four suppliers in total, labeled ad, and there are four paths in total, labeled aa, bb, cc, and dd, corresponding to the four suppliers respectively. The pick-up and delivery vehicle information in the path sorting set is obtained, and all of them are vans. The supply vehicle item is obtained, and the average delivery time of the supply vehicle item is obtained. The average delivery time of the aa path is 150 minutes, the average delivery time of the bb path is 180, and the average delivery time of the cc path is 160. The average delivery time of the dd route is 200, and the supply time set is obtained. According to the set fluctuation threshold of ±10%, the delivery time range of the aa route is 135-165 minutes, the delivery time range of the bb route is 160-198 minutes, the delivery time range of the cc route is 144-176 minutes, and the delivery time range of the dd route is 180-220 minutes. According to the set acquisition period of 10 days, the average vibration data of the supply vehicle items when they are driving in the set delivery time range on the four routes are obtained, and the average vibration items are obtained, as shown in Table 2:

[0078] Table 2

[0079]

[0080] The average vibration data of the supply vehicle item when it travels on the four routes within the set delivery time range is obtained. Among them, the aa, bb, cc, and dd routes each have three batches of driving records within the acquisition period, and then the average vibration item is obtained based on the three batches of driving records.

[0081] S600: Obtain survival rate data of target aquatic products during transportation to obtain real-time survival items.

[0082] It should be noted that based on the survival rate requirement in the supply demand as the demand threshold, the real-time survival item is limited, and the maximum single-batch delivery volume in the aquatic product transportation process is obtained based on the path sorting set, supply time set and path vibration set, and the single-batch capacity item is obtained, and then the supply supply set is obtained, and the supply supply sets correspond to the path sorting sets respectively.

[0083] It should be noted that the methods for obtaining real-time survival items include:

[0084] ;

[0085] in is the real-time survival item, is the initial survival information, To transmit time-affecting information, To transmit vibration impact information, To convey density influence information;

[0086] ;

[0087] in is Euler's constant, is the time attenuation coefficient, which is obtained by fitting experimental data and based on the survival rate of aquatic products under the influence of time. The calibration value is 0.015. For delivery time, It is a nonlinear index used to represent the cumulative effect of hypoxia, with a value of 1.3;

[0088] ;

[0089] in is the vibration sensitivity coefficient, which is fitted through experimental data and calibrated to 0.4 based on the survival rate of aquatic products under the influence of vibration alone. is the vibration acceleration, is the vibration nonlinear factor, which is used to represent the secondary effect of mechanical damage and has a value of 2.0;

[0090] ;

[0091] in is the density suppression coefficient, which is fitted with experimental data and calibrated to 0.0008 based on the survival rate of aquatic products under the influence of density alone. is the fish body density, is the density sensitivity index, with a value of 1.8. It is the oxygen competition factor, which is negatively correlated with the oxygen enrichment capacity of the transport container and has a value of 1.0. Example 4

[0092] In the specific implementation process, a retailer needs to supply 450kg of aquatic products with a survival rate greater than 80%. At this time, there are two supply chains from the retailer, one of which takes 5 hours to transport. The average vibration item is 0.3m / s. 2 ,Right now 5h, 0.3m / s 2 , when the packing scheme of the supply chain adopts 90kg / m 3 At this time, according to the formula:

[0093] ;

[0094] ;

[0095] ;

[0096] ;

[0097] The calculation shows that:

[0098] ;

[0099] That is, the final survival rate is 83%, which meets the demand threshold, and the single batch capacity is 90kg / m 3 ;

[0100] The transport time is 9 hours, and the average vibration item is 0.2m / s 2 ,Right now 9h, 0.2m / s 2 , when the packing scheme of the supply chain adopts 60kg / m 3 At this time, according to the formula:

[0101] ;

[0102] ;

[0103] ;

[0104] ;

[0105] Calculated;

[0106] ;

[0107] That is, the final survival rate is 81%, which meets the demand threshold, and the single batch capacity is 60kg / m 3 .

[0108] Step S700: Determine whether the supply quantity of the first supply in the supply set meets the demand threshold.

[0109] It should be noted that when the demand threshold is met, the path sorting set corresponding to the first one of the supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequence supply of the supply set is obtained in sequence until the supply meets the demand threshold. The path sorting set corresponding to the supply set that meets the demand threshold supply is used as the corresponding supply item for aquatic product scheduling to obtain a comprehensive scheduling item, and intelligent distribution scheduling is performed by comprehensively considering the survival of aquatic products.

[0110] Specifically, when the demand threshold is 450kg and the first supply quantity in the supply set is 500kg, the demand threshold is met. When the first supply quantity in the supply set is 400kg, the demand threshold is not met. The priority supply quantities of the supply set are obtained in sequence until the supply quantity meets the demand threshold.

[0111] It should be noted that the method for obtaining the supply supply set includes: obtaining the pick-up and delivery vehicle information corresponding to the supply location set and the target location item in the path sorting set to obtain the delivery vehicle item; obtaining the capacity information of the delivery 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 delivery vehicle item to obtain the maximum delivery item. The maximum delivery items correspond to the supply location set respectively, and the maximum delivery items are combined to obtain the supply supply set. Example 5

[0112] In the specific implementation process, a retailer needs to supply 430kg of aquatic products, and requires a survival rate greater than 80%. At this time, the selected corresponding supply item transportation time is 5h, and the average vibration item is 0.3m / s. 2 , when the packing scheme of the supply chain adopts 90kg / m 3 When the final survival rate is calculated to be 83%, which meets the demand threshold, and the single batch capacity item is 90kg / m 3 , when the capacity information of the transport vehicle item is obtained as 6m 3 When , the combination result of the target capacity item and the single batch capacity item is that the maximum supply quantity of the transport vehicle item is 540kg, that is, the maximum transport item is 540kg.

[0113] The AI-based intelligent scheduling system for aquatic supply chain uses the above-mentioned AI-based intelligent scheduling method for aquatic supply chain, including: an acquisition module: obtaining supply demand, supply demand includes quantity demand and survival rate demand, obtaining quantity demand items and survival demand items, obtaining demand position based on supply demand, obtaining target position item, obtaining supply chain data information based on target position item, supply chain data information includes position information, and obtaining supply location set; a calculation module: obtaining supply route based on supply location set and target position item, obtaining supply path set, sorting the supply path set based on the order of paths from near to far, obtaining path sorting set, obtaining supply time of path sorting set, obtaining supply time set, obtaining vibration data of the path corresponding to the path sorting set during aquatic product transportation, and obtaining path vibration Set; Processing module: obtain the survival rate data of the target aquatic products during the transportation process, obtain the real-time survival item, based on the survival rate demand in the supply demand as the demand threshold, limit the real-time survival item, obtain the maximum single-batch transportation volume in the aquatic product transportation process based on the path sorting set, supply time set and path vibration set, obtain the single-batch capacity item, and then obtain the supply supply set; Judgment module: judge whether the first supply volume of the supply supply set meets the demand threshold. When the demand threshold is met, the path sorting set corresponding to the first supply volume of the supply supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequence supply volume of the supply supply set is obtained in sequence until the supply volume meets the demand threshold, and the path sorting set corresponding to the supply supply set that meets the demand threshold supply volume is used as the corresponding supply item for aquatic product scheduling.

[0114] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is limited by the accompanying embodiments and their equivalents.

Claims

1. The AI-based intelligent scheduling method for aquatic product supply chain is characterized by: include: Obtain supply demand, which includes quantity demand and survival rate demand, to obtain quantity demand items and survival demand items, obtain demand position based on supply demand, and obtain target position item; Based on the target location item, supply chain data information is obtained, the supply chain data information includes location information, and a supply location set is obtained, the supply location set includes at least one supply location item composed of location information of the supply chain; Based on the supply location set and the target location item, the supply route is obtained to obtain a supply path set, the supply path set is sorted based on the order of the paths from near to far to obtain a path sorting set, and the supply time of the path sorting set is obtained to obtain a supply time set; Obtain vibration data of the paths corresponding to the path sorting set during the aquatic product transportation process to obtain a path vibration set; Obtain the survival rate data of the target aquatic products during transportation to obtain the real-time survival item. Based on the survival rate requirement in the supply demand as the demand threshold, the real-time survival item is limited. Based on the path sorting set, supply time set, and path vibration set, the maximum single-batch transportation volume of the aquatic products during transportation is obtained to obtain the single-batch capacity item, and then the supply supply set is obtained. The supply supply set corresponds to the path sorting set respectively. Determine whether the supply quantity of the first supply in the supply set meets the demand threshold. When the demand threshold is met, the path sorting set corresponding to the first supply in the supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequential supply quantities of the supply set are obtained in sequence until the supply quantity meets the demand threshold. The path sorting set corresponding to the supply set that meets the demand threshold supply quantity is used as the corresponding supply item for aquatic product scheduling to obtain a comprehensive scheduling item, and intelligent distribution scheduling is performed by comprehensively considering the survival of aquatic products. The method for obtaining the real-time survival item includes: ； in is the real-time survival item, is the initial survival information, To transmit time-affecting information, To transmit vibration impact information, To convey density influence information; ； in is Euler's constant, is the time attenuation coefficient, For delivery time, It is a nonlinear index used to represent the cumulative effect of hypoxia; ； in is the vibration sensitivity coefficient, is the vibration acceleration, is the vibration nonlinear factor, which is used to represent the secondary effect of mechanical damage; ； in is the density suppression coefficient, is the fish body density, is the density sensitivity index, It is an oxygen competition factor and is negatively correlated with the oxygen enrichment capacity of the transport container.

2. The AI-based intelligent scheduling method for aquatic product supply chain according to claim 1 is characterized by: 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, path information of the first feature point and the second feature point is obtained to obtain a total path set; Based on the supply location set, obtaining transportation information of the supply location item in the supply location set, the transportation information including vehicle model information, and obtaining the supply vehicle item corresponding to the supply location item; Obtain the driving demand information of the supply vehicle item, determine whether the path information corresponding to the supply location item in the total path set meets the driving demand information, set the path information that does not meet the driving demand information as elimination information, obtain the filtered path set, and use the filtered path set as the supply path set.

3. The AI-based intelligent scheduling method for aquatic product supply chain according to claim 1 is characterized by: The method for obtaining the supply time set includes: Setting a first judgment threshold, where the first judgment threshold is a time threshold, and obtaining a first judgment time item; Obtaining the delivery and pick-up vehicle information of the supply location set in the path sorting set, obtaining a first target vehicle item, obtaining the status information of the first target vehicle item, obtaining a first delivery status item and a first pickup status item; Based on the first judgment time item, the average delivery time of the first target vehicle item based on the first delivery status item is obtained to obtain the 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 the supply time set.

4. The AI-based intelligent scheduling method for aquatic product supply chain according to claim 1 is characterized by: The method for obtaining the supply time set further includes: Acquire real-time time information to obtain a real-time time item, set a second judgment threshold based on the real-time time item, the second judgment threshold being a fixed number threshold, and obtain a second judgment time item; Obtaining the delivery and pick-up vehicle information of the supply location set in the path sorting set, obtaining a second target vehicle item, obtaining the status information of the second target vehicle item, obtaining a second delivery status item and a second pickup status item; Based on the second judgment time item, the average delivery time of the second target vehicle item based on the delivery status item is obtained to obtain the 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 the supply time set.

5. The AI-based intelligent scheduling method for aquatic product supply chain according to claim 1 is characterized by: 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 obtain the supply vehicle item; Based on the supply vehicle item, at least two vibration acquisition devices are set to determine the supply route corresponding to the supply vehicle item when it is in the aquatic product transportation state, and obtain the target route item; acquiring average vibration information of a target route item based on a vibration acquisition device to obtain a target vibration item; Set an acquisition period, which is a time period. Set a target supply time based on the supply time set. Set a fluctuation threshold based on the target supply time. 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 routes in the path sorting set, and then obtain the path vibration set.

6. The AI-based intelligent scheduling method for aquatic product supply chain according to claim 1 is characterized by: 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, and obtain the delivery vehicle item; Obtain the capacity information of the transport vehicle item and obtain the target capacity item; Based on the combination results of the target capacity item and the single batch capacity item, the maximum supply quantity of the transport vehicle item is obtained, and the maximum transport item is obtained. The maximum transport items correspond to the supply location set respectively, and the maximum transport items are combined to obtain the supply supply set.

7. The AI-based intelligent scheduling method for aquatic product supply chain according to claim 1 is characterized by: The aquatic product scheduling includes time scheduling and speed scheduling, and 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; Acquire vibration data corresponding to the corresponding supply item in the path vibration set to obtain a limited vibration item, and acquire a corresponding conveying speed based on the limited vibration item to obtain a limited speed item; The time limit item and the speed limit item are combined to obtain the comprehensive scheduling item.

8. AI-based intelligent scheduling system for aquatic product supply chain, characterized by: The AI-based intelligent scheduling method for aquatic product supply chain according to any one of claims 1 to 7 is used, comprising: Acquisition module: Acquire supply demand, which includes quantity demand and survival rate demand, obtain quantity demand items and survival demand items, obtain demand location based on supply demand, obtain target location item, obtain supply chain data information based on target location item, the supply chain data information includes location information, and obtain supply location set; Calculation module: Based on the supply location set and the target location item, the supply route is obtained to obtain the supply path set; the supply path set is sorted based on the order of the paths from near to far to obtain the path sorting set; the supply time of the path sorting set is obtained to obtain the supply time set; the vibration data of the paths corresponding to the path sorting set during the aquatic product transportation process is obtained to obtain the path vibration set; Processing module: Obtain the survival rate data of the target aquatic products during transportation, obtain the real-time survival item, use the survival rate requirement in the supply demand as the demand threshold, limit the real-time survival item, obtain the maximum single-batch transportation volume of the aquatic products during transportation based on the path sorting set, supply time set, and path vibration set, obtain the single-batch capacity item, and then obtain the supply supply set; Judgment module: judge whether the supply quantity of the first supply set meets the demand threshold. When the demand threshold is met, the path sorting set corresponding to the first supply set is used as the corresponding supply item for aquatic product scheduling. When the demand threshold is not met, the sequence supply quantities of the supply set are obtained in sequence until the supply quantity meets the demand threshold, and the path sorting set corresponding to the supply set that meets the demand threshold supply quantity is used as the corresponding supply item for aquatic product scheduling.

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