Intelligent control method based on commodity boxing

Abstract

The invention discloses an intelligent control method based on commodity boxing, and the method comprises the steps: defining a boxing mode according to a three-dimensional model of a plurality of commodities, and defining a commodity boxing space along the boxing mode and the three-dimensional model of the plurality of commodities. Defining a residual space based on the commodity boxing space and the accommodating space in the box; matching is carried out according to the residual space and previous purchase records of the user, and recommendable commodities are screened out; matching a stereoscopic model of the recommendable commodity based on the recommendable commodity, defining a to-be-assembled space based on the stereoscopic model of the recommendable commodity, comparing the to-be-assembled space with the residual space, and outputting a spatial difference quantity, according to the method and the device, the space difference quantity is obtained, the boxing state of the containing space in the box is defined according to comparison of the space difference quantity and the preset space difference quantity threshold value, so that recommendable commodities are introduced conveniently, screening is carried out based on previous purchase records of the user, effective supplement is carried out for the remaining space, and the purchase habit of the user is highly met.

Description

Technical Field

[0001] The present invention relates to the technical field of commodity packaging, and in particular to an intelligent control method based on commodity packaging. Background Art

[0002] With the development of technology, goods that need to be packed are presented according to product orders. These goods that need to be packed are all transported in the same box. At this time, each box has a corresponding storage space. In the prior art, the goods matched by the product order are packed in the storage space. However, there is still some remaining space after the goods are packed, and there is no control over the remaining space. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides an intelligent control method based on commodity packing, which collects commodity orders and matches corresponding commodity information sets according to the commodity orders; matches corresponding commodity information based on the commodity information set, and determines three-dimensional models of multiple commodities according to the commodity information and a commodity database; defines a packing method according to the three-dimensional models of multiple commodities, and defines a commodity packing space along the packing method and the three-dimensional models of multiple commodities, so as to be compatible with the consideration of the packing method and the three-dimensional models of multiple commodities, thereby performing overall control on the packing method and the three-dimensional models of multiple commodities, so as to ensure the accuracy of the commodity packing space.

[0004] Furthermore, the remaining space is defined based on the packing space of the goods and the storage space in the box; matching is performed based on the remaining space and the user's previous purchase records, and recommendable goods are screened out; the three-dimensional model of the recommendable goods is matched based on the recommendable goods, and the space to be assembled is defined based on the three-dimensional model of the recommendable goods, the space to be assembled and the remaining space are compared, and the spatial difference is output, and the packing state of the storage space in the box is defined based on the comparison of the spatial difference and a preset spatial difference threshold, so as to introduce recommendable goods, and screen based on the user's previous purchase records, thereby ensuring the accuracy of the recommendable goods, thereby effectively supplementing the remaining space, and highly conforming to the user's purchasing habits, thereby realizing intelligent control based on product packing.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides an intelligent control method based on commodity packaging, which is applied to the intelligent control scenario of commodity packaging;

[0006] The intelligent control method based on commodity packaging includes:

[0007] Collect product orders and match corresponding product information sets according to product orders;

[0008] Matching corresponding product information based on the product information set, and determining three-dimensional models of multiple products according to the product information and the product database;

[0009] A packing method is defined according to the three-dimensional models of the multiple commodities, and a commodity packing space is defined along the packing method and the three-dimensional models of the multiple commodities;

[0010] Define the remaining space based on the product packing space and the storage space in the box; match the remaining space and the user's previous purchase history, and filter out recommended products;

[0011] The three-dimensional model of the recommendable commodities is matched based on the recommendable commodities, the space to be assembled is defined based on the three-dimensional model of the recommendable commodities, the space to be assembled and the remaining space are compared, and the space difference amount is output, and the packing state of the accommodating space in the box is defined according to the comparison between the space difference amount and a preset space difference amount threshold.

[0012] Optionally, collecting the product order and matching the corresponding product information set according to the product order includes:

[0013] Monitor the server in real time and locate order signals;

[0014] Match the corresponding product orders according to the order signals to collect the product orders;

[0015] Fix the product order and define the name and weight of each product according to the product order;

[0016] The delivery information of each product is defined based on the name and weight of each product; and a corresponding product information set is constructed based on the delivery information of each product.

[0017] Optionally, matching corresponding product information based on the product information set and determining three-dimensional models of multiple products according to the product information and a product database includes:

[0018] Fixed-frame product information collection;

[0019] Match the corresponding product information according to the product information set and information node;

[0020] Define the model type and the corresponding model quantity based on the product information;

[0021] Associate model types and product databases;

[0022] Determine sub-models of multiple products based on the model type and the product database;

[0023] The three-dimensional model of the product is defined according to the number of models and the corresponding sub-models of the product.

[0024] Optionally, defining a packing method according to the three-dimensional models of the multiple commodities, and defining a commodity packing space according to the packing method and the three-dimensional models of the multiple commodities, includes:

[0025] Fixed frame packing information;

[0026] Associating packing information and three-dimensional models of multiple products;

[0027] Define packing methods based on packing information and three-dimensional models of multiple commodities;

[0028] Match the packing method and the spatial information of the configured boxes, and match the coefficients.

[0029] Optionally, the step of defining a packing method according to the three-dimensional models of the multiple commodities, and defining a commodity packing space according to the packing method and the three-dimensional models of the multiple commodities, further includes:

[0030] If the matching coefficient is lower than the preset matching coefficient threshold, the packing method is optimized based on the spatial information of the configured boxes;

[0031] The packing of multiple commodities into boxes is triggered based on the optimized packing method, and the commodity packing space is defined according to the packing method and the three-dimensional model of the multiple commodities.

[0032] Optionally, the defining of the remaining space based on the commodity packing space and the accommodation space in the box; matching the remaining space and the orders to be received, and filtering out the recommended orders, includes:

[0033] Fixed commodity packing space;

[0034] The packaging space of the associated products and the storage space inside the box;

[0035] Compare the space required to pack the goods and the space inside the box, and define the remaining space.

[0036] Optionally, the method of defining the remaining space based on the commodity packing space and the storage space in the box; matching the remaining space and the orders to be received, and filtering out the recommended orders, further includes:

[0037] Divide the remaining space into multiple subspaces and mark the positions of the corresponding subspaces;

[0038] The relative positions of two adjacent subspaces are defined according to the comparison of the positions of the subspaces;

[0039] Optimizing multiple subspaces according to the relative positions of two adjacent subspaces and the minimum space amount of the subspaces;

[0040] For the optimized multiple subspaces associated servers;

[0041] Matching is performed based on the optimized multiple subspaces and the user's previous purchase records, and recommended products are screened out.

[0042] Optionally, matching the three-dimensional model of the recommendable commodity with the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled with the remaining space, outputting a space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and a preset space difference amount threshold, includes:

[0043] Determine the recommended products; match the recommended product information based on the recommended products;

[0044] Matching a three-dimensional model of the recommendable product according to the recommendable product information;

[0045] The space to be assembled is defined based on the three-dimensional model of the recommended products.

[0046] Optionally, the matching of the three-dimensional model of the recommendable commodity with the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled with the remaining space, outputting a space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and a preset space difference amount threshold value, further includes:

[0047] The space to be assembled and the remaining space are compared. At this time, each space to be assembled is compared with the multiple optimized subspaces;

[0048] Based on the comparison between each space to be assembled and the optimized subspaces, a corresponding spatial difference amount is defined.

[0049] Optionally, the matching of the three-dimensional model of the recommendable commodity with the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled with the remaining space, outputting a space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and a preset space difference amount threshold value, further includes:

[0050] Defining a preset spatial difference threshold based on the stereoscopic model of the recommended products and the corresponding subspace;

[0051] Defining a change amount according to a comparison between a spatial difference amount and a preset spatial difference amount threshold;

[0052] The packing state of the storage space in the box is defined according to the change amount.

[0053] In an embodiment of the present invention, through the method in the embodiment of the present invention, commodity orders are collected, and corresponding commodity information sets are matched according to the commodity orders; corresponding commodity information is matched based on the commodity information set, and three-dimensional models of multiple commodities are determined according to the commodity information and the commodity database; packing methods are defined according to the three-dimensional models of multiple commodities, and commodity packing spaces are defined along the packing methods and the three-dimensional models of multiple commodities, so as to be compatible with the consideration of the packing methods and the three-dimensional models of multiple commodities, thereby performing overall control on the packing methods and the three-dimensional models of multiple commodities, so as to ensure the accuracy of the commodity packing space.

[0054] Furthermore, the remaining space is defined based on the packing space of the goods and the storage space in the box; matching is performed based on the remaining space and the user's previous purchase records, and recommendable goods are screened out; the three-dimensional model of the recommendable goods is matched based on the recommendable goods, and the space to be assembled is defined based on the three-dimensional model of the recommendable goods, the space to be assembled and the remaining space are compared, and the spatial difference is output, and the packing state of the storage space in the box is defined based on the comparison of the spatial difference and a preset spatial difference threshold, so as to introduce recommendable goods, and screen based on the user's previous purchase records, thereby ensuring the accuracy of the recommendable goods, thereby effectively supplementing the remaining space, and highly conforming to the user's purchasing habits, thereby realizing intelligent control based on product packing. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 is a flow chart of an intelligent control method based on commodity packing in an embodiment of the present invention;

[0057] Figure 2 is a flow chart of S11 in the intelligent control method based on commodity packing in an embodiment of the present invention;

[0058] Figure 3 is a flow chart of S12 in the intelligent control method based on commodity packaging in an embodiment of the present invention;

[0059] Figure 4 is a flow chart of S13 in the intelligent control method based on commodity packing in an embodiment of the present invention;

[0060] Figure 5is a flow chart of S14 in the intelligent control method based on commodity packing in an embodiment of the present invention;

[0061] Figure 6 It is a flow chart of S15 in the intelligent control method based on commodity packing in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0063] Method Embodiment

[0064] See also Figures 1 to 6 , an intelligent control method based on commodity packaging, applied to an intelligent control scenario based on commodity packaging; the intelligent control method based on commodity packaging includes:

[0065] Step S11: Collecting product orders and matching corresponding product information sets according to the product orders;

[0066] Step S12: matching corresponding product information based on the product information set, and determining three-dimensional models of multiple products according to the product information and the product database;

[0067] Step S13: defining a packing method according to the three-dimensional models of the multiple commodities, and defining a commodity packing space according to the packing method and the three-dimensional models of the multiple commodities;

[0068] Step S14: defining the remaining space based on the commodity packing space and the storage space in the box; matching based on the remaining space and the user's previous purchase records, and filtering out the recommended commodities;

[0069] Step S15: Match the three-dimensional model of the recommendable goods based on the recommendable goods, define the space to be assembled based on the three-dimensional model of the recommendable goods, compare the space to be assembled and the remaining space, output the space difference, and define the packing state of the accommodating space in the box based on the comparison of the space difference and a preset space difference threshold.

[0070] In an embodiment of the present invention, through the method in the embodiment of the present invention, commodity orders are collected, and corresponding commodity information sets are matched according to the commodity orders; corresponding commodity information is matched based on the commodity information set, and three-dimensional models of multiple commodities are determined according to the commodity information and the commodity database; packing methods are defined according to the three-dimensional models of multiple commodities, and commodity packing spaces are defined along the packing methods and the three-dimensional models of multiple commodities, so as to be compatible with the consideration of the packing methods and the three-dimensional models of multiple commodities, thereby performing overall control on the packing methods and the three-dimensional models of multiple commodities, so as to ensure the accuracy of the commodity packing space.

[0071] Furthermore, the remaining space is defined based on the packing space of the goods and the storage space in the box; matching is performed based on the remaining space and the user's previous purchase records, and recommendable goods are screened out; the three-dimensional model of the recommendable goods is matched based on the recommendable goods, and the space to be assembled is defined based on the three-dimensional model of the recommendable goods, the space to be assembled and the remaining space are compared, and the spatial difference is output, and the packing state of the storage space in the box is defined based on the comparison of the spatial difference and the preset spatial difference threshold, so as to introduce the recommendable goods, and screening is performed based on the user's previous purchase records, thereby ensuring the accuracy of the recommendable goods, thereby effectively supplementing the remaining space, and highly conforming to the user's purchasing habits, realizing intelligent control based on the packing of goods, and further processing according to the remaining space, so as to fully consider the remaining space and the user's previous purchase records. In addition, it can also be further controlled according to the remaining space and customer portraits, and the customer portraits include historically purchased goods, recent purchase behaviors, seasonal hot-selling goods in the customer's area, and so on.

[0072] refer to Figure 2 , in step S11, collect the product order, and match the corresponding product information set according to the product order;

[0073] In the specific implementation process of the present invention, the specific steps may be:

[0074] S111: monitor the server in real time and locate order signals;

[0075] S112: Matching corresponding product orders according to the order signal to collect the product orders;

[0076] S113: freeze the commodity order, and define the name and weight of each commodity according to the commodity order;

[0077] S114: defining the delivery information of each commodity based on the name and weight of each commodity; and constructing a corresponding commodity information set based on the delivery information of each commodity.

[0078] In an embodiment of the present application, the server is monitored in real time and the order signal is located so as to introduce the order signal and thereby control the order signal. At this time, the corresponding commodity order is matched according to the order signal to collect the commodity order and then perform subsequent processing of the commodity order.

[0079] Therefore, the product orders are fixed, and the name and weight of each product are defined according to the product orders; the delivery information of the products is defined based on the name and weight of each product, so that the name and weight of each product are introduced for multi-dimensional management and control, and a corresponding product information set is constructed for the delivery information of each product, ensuring the accuracy of the product information set, so as to facilitate overall control of the product information set.

[0080] refer to Figure 3 , in step S12, the corresponding product information is matched based on the product information set, and the three-dimensional models of the plurality of products are determined according to the product information and the product database;

[0081] In the specific implementation process of the present invention, the specific steps may be:

[0082] S121: freeze commodity information collection;

[0083] S122: Matching corresponding product information according to the product information set and the information node;

[0084] S123: defining the model type and the corresponding model quantity based on the product information;

[0085] S124: Associating model type with product database;

[0086] S125: Determine sub-models of multiple commodities based on the model type and the commodity database;

[0087] S126: Define the three-dimensional model of the commodity according to the number of models and the corresponding sub-models of the commodity.

[0088] In an embodiment of the present application, a set of product information is fixed, and corresponding product information is matched according to the product information set and the information node, so as to introduce each product information, thereby managing and controlling each product information, so as to define the model type and the corresponding model quantity based on the product information.

[0089] At this time, the model model and the commodity database are associated, and the model model and the commodity database are controlled as a whole. Therefore, sub-models of multiple commodities are determined based on the model model and the commodity database, so as to introduce sub-models of multiple commodities, and define the three-dimensional model of the commodity according to the number of models and the corresponding sub-models of the commodity, so as to present the three-dimensional model of the commodity as a whole, so as to control the commodity packing space corresponding to the three-dimensional model of the commodity.

[0090] refer to Figure 4 , S13: defining a packing method according to the three-dimensional models of the multiple commodities, and defining a commodity packing space along the packing method and the three-dimensional models of the multiple commodities;

[0091] In the specific implementation process of the present invention, the specific steps may be:

[0092] S131: Fixed frame packing information;

[0093] S132: Associating packing information with three-dimensional models of multiple commodities;

[0094] S133: defining a packing method according to the packing information and the three-dimensional models of the plurality of commodities;

[0095] S134: Matching the packing method and the space information of the configured boxes, and matching the coefficients;

[0096] S135: If the matching coefficient is lower than a preset matching coefficient threshold, optimizing the packing method based on the spatial information of the configured box;

[0097] S136: Triggering the packing of multiple commodities into boxes based on the optimized packing method, and defining a commodity packing space according to the packing method and the three-dimensional model of the multiple commodities.

[0098] In an embodiment of the present application, the packing information is frozen, and the packing information and three-dimensional models of multiple commodities are associated, so that the packing method can be defined according to the packing information and the three-dimensional models of multiple commodities, thereby performing multi-dimensional control based on the packing information and the three-dimensional models of multiple commodities, thereby ensuring the accuracy of the packing method.

[0099] At this time, the packing method and the spatial information of the configured boxes are matched, and the coefficients are matched so that the matching degree of the packing method and the spatial information of the configured boxes can be presented according to the matching coefficients. At the same time, if the matching coefficient is lower than the preset matching coefficient threshold, the packing method is optimized based on the spatial information of the configured boxes; the packing of multiple commodities into boxes is triggered based on the optimized packing method, and the commodity packing space is defined along the packing method and the three-dimensional model of multiple commodities, thereby ensuring the accuracy of the commodity packing space and realizing the control of the commodity packing space.

[0100] In addition, as the content of the taboo search algorithm, the taboo search algorithm and the genetic algorithm are introduced for the intelligent control method based on commodity packaging. The taboo search algorithm combines the crossover and mutation operations of the genetic algorithm with the heuristic information and pheromone update mechanism of the ant colony algorithm to improve the optimization ability and search efficiency of the algorithm.

[0101] Genetic algorithm is a search algorithm that simulates natural selection and genetic mechanism. It searches for the optimal solution through operations such as selection, crossover and mutation.

[0102] formula

[0103] Initialize the population: randomly generate P initial solutions

[0104] Fitness function: calculate the fitness of each individual

[0105] fitness(x)=box utilization(x)

[0106] Selection operation: select individuals according to fitness

[0107]

[0108] Crossover operation: Perform crossover operation on selected individuals to generate new individuals.

[0109] x new =crossover(x i , x j )

[0110] Mutation operation: mutate new individuals with a certain probability

[0111] x new =mutate(x new ) Formula Explanation

[0112] P: Population size

[0113] fitness(x): the fitness of individual x

[0114] P(x i ): Select individual x i Probability

[0115] x new : Newly generated individual.

[0116] The ant colony algorithm simulates the foraging behavior of ants and searches for the optimal path through pheromone transmission.

[0117] Initialize pheromone: Initialize the pheromone of each path

[0118] τ ij (0) = τ 0

[0119] Choosing a path: the probability of each ant choosing a path

[0120]

[0121] Among them, η ijis the heuristic information, α and β are parameters

[0122] Update pheromone

[0123] τ ij (t+1)=(1-ρ)τ ij (t)+Δτ ij (t)

[0124] Among them, ρ is the pheromone volatility coefficient, Δτ ij (t) is the incremental pheromone of the ant on the path

[0125] Formula Explanation

[0126] τ ij (0): Initial pheromone concentration

[0127] P ij : The probability of choosing path ij

[0128] η ij : Heuristic Information

[0129] α: parameter of pheromone importance

[0130] β: parameter of the importance of heuristic information

[0131] ρ: pheromone volatility coefficient

[0132] Δτ ij (t): pheromone increment.

[0133] The taboo search algorithm is an algorithm based on neighborhood search, which avoids the search from falling into the local optimum by recording the taboo table.

[0134] formula

[0135] Initialization: Select the initial solution x0 and initialize the taboo table T

[0136] Neighborhood search: Search for the neighborhood solution N(xt) of the current solution xt

[0137] Select the optimal solution: Select the optimal solution x′ from the neighborhood solution, if x′ is not in the taboo table

[0138]

[0139] Update the taboo table: add the current solution xt to the taboo table and remove some elements from the taboo table according to the strategy

[0140] Stop condition: If the stop condition is met, the search is terminated.

[0141] Formula Explanation

[0142] x 0 : Initial solution

[0143] T: Taboo Table

[0144] x t :Current solution

[0145] N(x t ): Neighborhood solution of the current solution

[0146] f(x'): objective function.

[0147] In one embodiment, the specific workflow is as follows:

[0148] 1. Get order details

[0149] The system receives and parses the customer's order details, obtaining information such as the SKU, quantity, and size of each item in the order.

[0150] 2. Intelligent sorting and simulation calculation

[0151] The system uses intelligent sorting technology to sort the goods in the order details.

[0152] Use three-dimensional spatial algorithms to simulate the sorted goods and simulate the placement of the goods in the box.

[0153] 3. Box volume comparison

[0154] Compare the simulation results with the volumes of multiple standard containers in the warehouse to determine the most suitable container.

[0155] Select the appropriate box based on the comparison results to ensure maximum space utilization after packing.

[0156] 4. Packing optimization

[0157] An improved tabu search optimization algorithm is used to perform three-dimensional space optimization packing on the selected boxes.

[0158] The improved tabu search algorithm combines the crossover and mutation operations of the genetic algorithm with the heuristic information and pheromone update mechanism of the ant colony algorithm to improve the optimization ability and search efficiency of the algorithm.

[0159] 5. Remaining space analysis

[0160] After packing is completed, the system analyzes and reports the remaining space in the box.

[0161] Based on the set of goods purchased by the customer this time, intelligent recommendations are made for additional items to make more efficient use of the remaining space.

[0162] Therefore, the required three-dimensional space is predicted before the order is processed to provide data support for accurate box matching. For the taboo search optimization algorithm, the improved taboo search algorithm is used to optimize the packing process, improve the packing efficiency and space utilization. At the same time, based on the set of goods purchased by the customer, intelligent recommendations are made for additional purchases to make more efficient use of the remaining space. Its recommended additional purchase system serves as a constraint function for this type of optimization problem;

[0163] Furthermore, the present invention provides an efficient and accurate solution for intelligent warehousing sorting by combining advanced algorithms and intelligent recommendation systems, which helps to improve overall logistics efficiency and customer satisfaction; the present invention proposes a more efficient intelligent sorting and packing method by combining genetic algorithms, ant colony algorithms and improved taboo search algorithms, which can effectively improve packing efficiency and space utilization, reduce the number of boxes used, improve customer satisfaction, and overcome the defects and shortcomings of the prior art.

[0164] At the same time, the automation level of warehousing operations and packing efficiency are improved. The errors of manual picking are reduced and the picking speed is improved. The use of storage space is optimized, the logistics cost is reduced, and sales opportunities are increased through the intelligent control method based on commodity packing.

[0165] refer to Figure 5 , S14: defining the remaining space based on the commodity packing space and the storage space in the box; matching the remaining space and the orders to be received, and filtering out the recommended orders;

[0166] In the specific implementation process of the present invention, the specific steps may be:

[0167] S141: Fixed commodity packing space;

[0168] S142: Associating the packing space of the goods and the storage space in the box;

[0169] S143: Compare the space for packing the goods and the space for accommodating the goods in the vehicle, and define the remaining space;

[0170] S144: Divide the remaining space into multiple subspaces, and mark the positions of corresponding subspaces;

[0171] S145: defining relative positions of two adjacent subspaces according to comparison of positions of the subspaces;

[0172] S146: Optimizing the multiple subspaces according to the relative positions of two adjacent subspaces and the minimum space amount of the subspaces;

[0173] S147: associating servers with the optimized multiple subspaces;

[0174] S148: Matching is performed based on the optimized multiple subspaces and the user's previous purchase records, and recommended products are screened out.

[0175] In the specific implementation process of the present invention, the commodity packing space is frozen, and the commodity packing space and the storage space in the box are associated, so as to compare the commodity packing space and the storage space in the box and define the remaining space. At this time, the remaining space is obtained by comparing the commodity packing space and the storage space in the box.

[0176] Furthermore, space control is performed on the remaining space, and multiple subspaces are divided based on the remaining space, so that the positions of the corresponding subspaces are marked, so as to introduce multiple subspaces and corresponding positions, and then control the multiple subspaces.

[0177] Therefore, the relative positions of two adjacent subspaces are defined according to the comparison of the positions of the subspaces; multiple subspaces are optimized according to the relative positions of the two adjacent subspaces and the minimum space amount of the subspaces, and some subspaces are merged to facilitate the management of multiple subspaces.

[0178] At the same time, servers are associated with the optimized multiple subspaces; matching is performed based on the optimized multiple subspaces and the user's previous purchase records, and recommended products are screened out to facilitate matching of the optimized multiple subspaces with recommended orders, thereby making full use of the targeted matching of the optimized multiple subspaces.

[0179] refer to Figure 6 , S15: matching the three-dimensional model of the recommendable commodity based on the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled and the remaining space, and outputting the space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and the preset space difference amount threshold;

[0180] In the specific implementation process of the present invention, the specific steps may be:

[0181] S151: fixing the recommendable commodities; matching the recommendable commodity information based on the recommendable commodities;

[0182] S152: matching a three-dimensional model of the recommendable product according to the recommendable product information;

[0183] S153: defining a space to be assembled based on the three-dimensional model of the recommended product;

[0184] S154: Compare the space to be assembled with the remaining space. At this time, each space to be assembled is compared with the optimized multiple subspaces;

[0185] S155: defining a corresponding spatial difference amount based on a comparison between each space to be assembled and the optimized multiple subspaces;

[0186] S156: defining a preset spatial difference threshold based on the three-dimensional model of the recommended product and the corresponding subspace;

[0187] S157: defining a change amount according to a comparison between the spatial difference amount and a preset spatial difference amount threshold;

[0188] S158: Define the packing state of the storage space in the vehicle according to the change amount.

[0189] In the specific implementation process of the present invention, the recommendable commodities are frozen; the recommendable commodity information is matched based on the recommendable commodities to facilitate the introduction of the recommendable commodity information, and the three-dimensional model of the recommendable commodity is matched according to the recommendable commodity information, thereby determining the three-dimensional model of the recommendable commodity, so as to facilitate spatial matching according to the three-dimensional model of the recommendable commodity.

[0190] At this time, the space to be assembled is defined based on the three-dimensional model of the recommended goods; the space to be assembled and the remaining space are compared, and at this time, each space to be assembled is compared with the multiple subspaces after optimization; based on the comparison between each space to be assembled and the multiple subspaces after optimization, the corresponding spatial difference amount is defined to facilitate the presentation of the degree of difference, so as to further process the spatial difference amount.

[0191] Therefore, a preset spatial difference threshold is defined based on the stereoscopic model of the recommended product and the corresponding subspace; a change is defined based on the comparison between the spatial difference and the preset spatial difference threshold; and a packing state of the storage space in the vehicle is defined based on the change.

[0192] Therefore, the three-dimensional model of the recommendable commodities is matched based on the recommendable commodities, the space to be assembled is defined based on the three-dimensional model of the recommendable commodities, the space to be assembled and the remaining space are compared, and the spatial difference is output. The packing state of the accommodating space in the box is defined based on the comparison of the spatial difference and the preset spatial difference threshold, so as to introduce the recommendable commodities, and screen them based on the user's previous purchase records, thereby ensuring the accuracy of the recommendable commodities, thereby effectively supplementing the remaining space, highly complying with the user's purchasing habits, and realizing intelligent control based on commodity packing.

[0193] In an embodiment of the present invention, through the method in the embodiment of the present invention, commodity orders are collected, and corresponding commodity information sets are matched according to the commodity orders; corresponding commodity information is matched based on the commodity information set, and three-dimensional models of multiple commodities are determined according to the commodity information and the commodity database; packing methods are defined according to the three-dimensional models of multiple commodities, and commodity packing spaces are defined along the packing methods and the three-dimensional models of multiple commodities, so as to be compatible with the consideration of the packing methods and the three-dimensional models of multiple commodities, thereby performing overall control on the packing methods and the three-dimensional models of multiple commodities, so as to ensure the accuracy of the commodity packing space.

[0194] Furthermore, the remaining space is defined based on the packing space of the goods and the storage space in the box; matching is performed based on the remaining space and the user's previous purchase records, and recommendable goods are screened out; the three-dimensional model of the recommendable goods is matched based on the recommendable goods, and the space to be assembled is defined based on the three-dimensional model of the recommendable goods, the space to be assembled and the remaining space are compared, and the spatial difference is output, and the packing state of the storage space in the box is defined based on the comparison of the spatial difference and the preset spatial difference threshold, so as to introduce the recommendable goods, and screening is performed based on the user's previous purchase records, thereby ensuring the accuracy of the recommendable goods, thereby effectively supplementing the remaining space, and highly conforming to the user's purchasing habits, realizing intelligent control based on the packing of goods, and further processing according to the remaining space, so as to fully consider the remaining space and the user's previous purchase records. In addition, it can also be further controlled according to the remaining space and customer portraits, and the customer portraits include historically purchased goods, recent purchase behaviors, seasonal hot-selling goods in the customer's area, and so on.

[0195] In addition, the intelligent control method based on commodity packaging provided by the embodiment of the present invention is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. An intelligent control method based on commodity packaging, characterized in that: Applied to intelligent control scenarios for commodity packing; The intelligent control method based on commodity packaging includes: Collect product orders and match corresponding product information sets according to product orders; Matching corresponding product information based on the product information set, and determining three-dimensional models of multiple products according to the product information and the product database; A packing method is defined according to the three-dimensional models of the multiple commodities, and a commodity packing space is defined along the packing method and the three-dimensional models of the multiple commodities; Define the remaining space based on the product packing space and the storage space in the box; match the remaining space and the user's previous purchase history, and filter out recommended products; The three-dimensional model of the recommendable commodities is matched based on the recommendable commodities, the space to be assembled is defined based on the three-dimensional model of the recommendable commodities, the space to be assembled and the remaining space are compared, and the space difference amount is output, and the packing state of the accommodating space in the box is defined according to the comparison between the space difference amount and a preset space difference amount threshold.

2. The intelligent control method based on commodity packaging according to claim 1 is characterized in that: The collecting of commodity orders and matching corresponding commodity information sets according to the commodity orders include: Monitor the server in real time and locate order signals; Match the corresponding product orders according to the order signals to collect the product orders; Fix the product order and define the name and weight of each product according to the product order; The delivery information of each product is defined based on the name and weight of each product; and a corresponding product information set is constructed based on the delivery information of each product.

3. The intelligent control method based on commodity packaging according to claim 2 is characterized in that: The matching of the corresponding commodity information based on the commodity information set and determining the three-dimensional models of the plurality of commodities according to the commodity information and the commodity database include: Fixed-frame product information collection; Match the corresponding product information according to the product information set and information node; Define the model type and the corresponding model quantity based on the product information; Associate model types and product databases; Determine sub-models of multiple products based on the model type and the product database; The three-dimensional model of the product is defined according to the number of models and the corresponding sub-models of the product.

4. The intelligent control method based on commodity packaging according to claim 3 is characterized in that: Defining a packing method according to the three-dimensional models of the multiple commodities, and defining a commodity packing space according to the packing method and the three-dimensional models of the multiple commodities, includes: Fixed frame packing information; Associating packing information and three-dimensional models of multiple products; Define packing methods based on packing information and three-dimensional models of multiple commodities; Match the packing method and the spatial information of the configured boxes, and match the coefficients.

5. The intelligent control method based on commodity packaging according to claim 4 is characterized in that: The method of defining a packing method according to the three-dimensional models of the multiple commodities, and defining a commodity packing space according to the packing method and the three-dimensional models of the multiple commodities, further includes: If the matching coefficient is lower than the preset matching coefficient threshold, the packing method is optimized based on the spatial information of the configured boxes; The packing of multiple commodities into boxes is triggered based on the optimized packing method, and the commodity packing space is defined according to the packing method and the three-dimensional model of the multiple commodities.

6. The intelligent control method based on commodity packaging according to claim 5 is characterized in that: The remaining space is defined based on the commodity packing space and the storage space in the box; Match the remaining space and the orders to be received, and filter out the recommended orders, including: Fixed commodity packing space; The packaging space of the associated products and the storage space inside the box; Compare the space required to pack the goods and the space inside the box, and define the remaining space.

7. The intelligent control method based on commodity packaging according to claim 6 is characterized in that: The remaining space is defined based on the commodity packing space and the storage space in the box; Match the remaining space and the orders to be received, and filter out the recommended orders, including: Divide the remaining space into multiple subspaces and mark the positions of the corresponding subspaces; The relative positions of two adjacent subspaces are defined according to the comparison of the positions of the subspaces; Optimizing multiple subspaces according to the relative positions of two adjacent subspaces and the minimum space amount of the subspaces; For the optimized multiple subspaces associated servers; Matching is performed based on the optimized multiple subspaces and the user's previous purchase records, and recommended products are screened out.

8. The intelligent control method based on commodity packaging according to claim 1 is characterized in that: The method of matching the three-dimensional model of the recommendable commodity with the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled with the remaining space, outputting a space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and a preset space difference amount threshold, includes: Determine the recommended products; match the recommended product information based on the recommended products; Matching a three-dimensional model of the recommendable product according to the recommendable product information; The space to be assembled is defined based on the three-dimensional model of the recommended products.

9. The intelligent control method based on commodity packaging according to claim 8 is characterized in that: The method of matching the three-dimensional model of the recommendable commodity with the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled with the remaining space, outputting the space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and a preset space difference amount threshold, further includes: The space to be assembled and the remaining space are compared. At this time, each space to be assembled is compared with the multiple optimized subspaces; Based on the comparison between each space to be assembled and the optimized subspaces, a corresponding spatial difference amount is defined.

10. The intelligent control method based on commodity packaging according to claim 8, characterized in that: The method of matching the three-dimensional model of the recommendable commodity with the recommendable commodity, defining the space to be assembled based on the three-dimensional model of the recommendable commodity, comparing the space to be assembled with the remaining space, outputting the space difference amount, and defining the packing state of the accommodation space in the box according to the comparison between the space difference amount and a preset space difference amount threshold, further includes: Defining a preset spatial difference threshold based on the stereoscopic model of the recommended products and the corresponding subspace; Defining a change amount according to a comparison between a spatial difference amount and a preset spatial difference amount threshold; The packing state of the storage space in the box is defined according to the change amount.

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