Intelligent warehouse goods sorting system

Abstract

The invention relates to the technical field of warehouse management, in particular to an intelligent warehouse goods sorting system which comprises an information acquisition module, a position analysis module, a logistics analysis module and a goods sorting module, the system comprises a distribution warehouse sequence analysis module used for adjusting the analysis process of a distribution warehouse sequence, a storage state analysis module used for analyzing the storage state of each distribution warehouse in a monitoring period, a warehouse selection module used for selecting the distribution warehouses of order goods, and a sorting analysis module used for analyzing the logistics pressure of each distribution warehouse. And the server is used for analyzing the goods sorting strategy of each distribution warehouse, analyzing the sorting scheme of the order goods and outputting the sorting scheme of the order goods to the user. The warehouse goods sorting efficiency is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and in particular to an intelligent warehouse cargo sorting system. Background Art

[0002] At present, the traditional warehousing and logistics industry is facing an increasing demand for cargo handling. In particular, the rapid development of e-commerce has led to the generation of a large number of orders, which has put forward higher requirements on the efficiency and accuracy of the warehousing system.

[0003] Chinese patent publication number CN113118055A discloses a product inspection and sorting system based on big data, which belongs to the field of product inspection and involves big data technology. It is used to solve the technical problem that the existing automatic inspection system cannot intercept batch problem products, including a sorting server, which is communicatively connected with an inventory analysis module, a quality inspection module, a sorting control module, a manual intervention module and a database; the quality inspection module is used to inspect and analyze the quality of the product, and the manual intervention module is used to assign suitable quality inspectors to perform in-depth inspection on the product. The in-depth inspection process is to assign employees to re-inspect all high-quality products in the pending warehouse through the quality inspection module, and assign employees to supervise the inspection process throughout the process; the invention sets a timer in the recycling warehouse, and re-inspects all products of the batch when continuous problem products appear, and the quality inspectors supervise, thereby improving the accuracy of the inspection results of the equipment; it can be seen that the invention only analyzes the quality inspection of batch products, and then controls the product sorting process, and does not analyze the logistics sorting process of the warehouse goods, and cannot achieve efficient sorting of the goods, and there is a problem of low efficiency in sorting goods in the goods storage. Summary of the invention

[0004] To this end, the present invention provides an intelligent warehousing cargo sorting system to overcome the problem of low efficiency in cargo warehousing cargo sorting in the prior art.

[0005] To achieve the above object, the present invention provides an intelligent warehouse cargo sorting system, comprising:

[0006] Information acquisition module, used to obtain store order data, distribution warehouse information and logistics information within the monitoring period;

[0007] Location analysis module, used to analyze the distribution warehouse sequence based on store order data and distribution warehouse information;

[0008] Logistics analysis module, used to adjust the analysis process of the distribution warehouse sequence according to the logistics information within the monitoring period;

[0009] The storage status analysis module is used to analyze the storage status of each distribution warehouse within the monitoring period based on the distribution warehouse information, store order data and distribution warehouse sequence analysis results;

[0010] The warehouse selection module is used to select the distribution warehouse of the order goods according to the distribution warehouse sequence analysis results and the storage status analysis results of each distribution warehouse;

[0011] The sorting analysis module is used to analyze the logistics pressure of each distribution warehouse according to the selection results of the distribution warehouse of the order goods within the monitoring period, and to analyze the goods sorting strategy of each distribution warehouse according to the logistics pressure analysis results of each distribution warehouse, and to generate a sorting plan for the order goods according to the analysis results of the goods sorting strategy of the distribution warehouse, and output the sorting plan for the order goods to the user.

[0012] Further, the location analysis module analyzes the delivery distance d(i) according to the order store address and the location of each distribution warehouse;

[0013] The location analysis module counts the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address, and uses the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address as the ranking weight D(i) of each distribution warehouse;

[0014] Where i is the distribution warehouse number, set i = 1, 2...Q, Q is the number of distribution warehouses;

[0015] The location analysis module arranges the numbers of the distribution warehouses in ascending order according to the ranking weights of the locations of the distribution warehouses, and uses the arrangement results as the distribution warehouse sequence.

[0016] Furthermore, the logistics analysis module is provided with a road condition analysis unit, which is used to analyze the road condition of the route from each distribution warehouse location to the order store address according to the traffic information in the monitoring period, and adjust the analysis process of the distribution warehouse sequence according to the road condition analysis result: if α(i)≥B, the road condition analysis unit determines that the road condition of the route from the distribution warehouse to the order store address is abnormal, and adjusts the sorting weight of the distribution warehouse location to D'(i); if α(i)<B, the road condition analysis unit determines that the road condition of the route from the distribution warehouse to the order store address is normal, and does not make any adjustment;

[0017] Among them, α(i) is the road condition index from the distribution warehouse with distribution warehouse number i to the order store address, and B is the preset road condition index.

[0018] Furthermore, the logistics analysis module is further provided with a meteorological analysis unit, which is used to optimize the adjustment process of the distribution warehouse sequence according to the meteorological information within the monitoring period: if β(i)<C, the meteorological analysis unit determines that the meteorological state from the distribution warehouse to the order store address is normal and does not make any adjustment; if β(i)≥C, the meteorological analysis unit determines that the meteorological state from the distribution warehouse to the order store address is abnormal, and optimizes the preset road condition index to B';

[0019] Among them, β(i) is the meteorological anomaly index from the distribution warehouse with distribution warehouse number i to the order store address.

[0020] Further, the cargo inventory status analysis module is provided with a cargo inventory analysis unit, and the cargo inventory analysis unit is used to analyze the cargo inventory status of each distribution warehouse within the monitoring period according to the distribution warehouse sequence analysis result, the distribution warehouse information and the store order data;

[0021] The cargo inventory analysis unit uses the distribution warehouse number 1 in the distribution warehouse sequence as the pre-selected distribution warehouse number, and uses the distribution warehouse corresponding to the pre-selected distribution warehouse number as the pre-selected distribution warehouse;

[0022] The cargo inventory analysis unit counts the number of orders n(j) for the same cargo model of the pre-selected distribution warehouse during the monitoring period, and compares the number of orders n(j) for the same cargo model with the number of similar inventory cargo N(j) to determine the cargo inventory status of the pre-selected distribution warehouse, where the cargo inventory status of the pre-selected distribution warehouse includes normal and abnormal;

[0023] Among them, j is the product model number, n(j) represents the order quantity of the j-th product model, and N(j) represents the inventory quantity of the j-th product model.

[0024] Furthermore, the storage status analysis module is further provided with a storage analysis unit, and the storage analysis unit is used to analyze the inventory status of the warehouse within the monitoring period according to the goods inventory status analysis results of each distribution warehouse within the monitoring period and the distribution warehouse information;

[0025] The storage analysis unit counts the number n1 of goods models with normal inventory status of the pre-selected distribution warehouse within the monitoring period, and compares the number n1 of goods models with abnormal inventory status of the pre-selected distribution warehouse with the preset number N1 to determine the inventory status of the distribution warehouse, the inventory status of the distribution warehouse includes normal, out-of-stock abnormal, and overstock abnormal, and when the inventory status of the distribution warehouse is overstock abnormal, the sorting weight of the pre-selected distribution warehouse is corrected to D(i)(j);

[0026] Wherein, D(i)(j) represents the sorting weight of the cargo model numbered j in the distribution warehouse numbered i.

[0027] Furthermore, the warehouse selection module selects a distribution warehouse for the order goods according to the distribution warehouse sequence analysis results and the storage status analysis results of each distribution warehouse: if the storage status of the pre-selected distribution warehouse is normal, the warehouse selection module will use the pre-selected distribution warehouse as the selected warehouse; if the storage status of the pre-selected distribution warehouse is abnormal goods shortage, the warehouse selection module will delete the pre-selected distribution warehouse from the distribution warehouse sequence, and move up the order of the remaining distribution warehouses in the distribution warehouse sequence; if the storage status of the pre-selected distribution warehouse is abnormal excess stacking, the warehouse selection module will use the pre-selected distribution warehouse as the selected warehouse.

[0028] Furthermore, the sorting analysis module is provided with a pressure analysis unit, and the pressure analysis unit counts the total number of selected orders n2 and the number of orders of various types of goods n2(j) of each distribution warehouse within the monitoring period according to the distribution storage selection results of the ordered goods within the monitoring period;

[0029] The pressure analysis unit compares the total number n2 of selected orders of the distribution warehouse with each preset number to determine the logistics pressure of each distribution warehouse. The logistics pressure of each distribution warehouse includes low logistics pressure, normal logistics pressure and high logistics pressure.

[0030] Furthermore, the sorting analysis module is also provided with a sorting strategy selection unit, which is used to determine the goods sorting strategy of each distribution warehouse according to the logistics pressure analysis results of each distribution warehouse during the monitoring period. The goods sorting strategy of each distribution warehouse includes order-based picking strategy, compound picking strategy and batch picking strategy.

[0031] Furthermore, the sorting analysis module is also provided with a scheme analysis unit, which is used to generate a sorting scheme for the order goods according to the analysis results of the goods sorting strategy of the distribution warehouse during the monitoring period and the order quantity n2(j) of each type of goods model. The sorting scheme for the order goods includes single picking, batch picking and compound picking.

[0032] Compared with the prior art, the beneficial effects of the present invention are that the accuracy and completeness of information acquisition are improved by acquiring the required information through the information acquisition module, the accuracy of the distribution warehouse sequence analysis is improved by analyzing the distribution warehouse sequence through the location analysis module and the logistics analysis module, the accuracy of the distribution warehouse sequence analysis is improved by analyzing the storage status of the distribution warehouse through the storage status analysis module, the accuracy of the storage status analysis is improved, the distribution warehouse is selected through the warehouse selection module, the accuracy of the distribution warehouse selection is improved, and the sorting plan is analyzed through the sorting analysis module to improve the efficiency of sorting stored goods. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments 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 creative work.

[0034] Figure 1 This is a schematic diagram of the structure of the intelligent warehouse cargo sorting system of this embodiment.

[0035] Figure 2 It is a structural diagram of the logistics analysis module of this embodiment.

[0036] Figure 3 This is a schematic diagram of the structure of the warehouse status analysis module of this embodiment.

[0037] Figure 4 Schematic diagram of the structure of the sorting and analysis module of this embodiment. DETAILED DESCRIPTION

[0038] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0039] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0040] Specifically, the intelligent warehouse goods sorting system described in this embodiment is applied to the distributed warehouse goods sorting of the distribution management platform; the distributed warehouse goods sorting described in this embodiment is specifically to select a suitable warehouse from multiple warehouses to distribute goods to a store; the sorting process of the logistics platform described in this embodiment is: the logistics platform receives the selected goods information of each store, and the logistics platform determines the nearest distribution warehouse, and distributes the selected goods to each store; the distribution warehouse area described in this embodiment is 500m 2 -1000m 2 This embodiment analyzes the status of the distribution warehouses around the store and selects appropriate warehouses to pick and distribute goods to the store, thereby improving the efficiency of warehouse goods sorting.

[0041] See also Figure 1 As shown, it is a structural diagram of the intelligent warehouse goods sorting system of this embodiment, including:

[0042] The information acquisition module is used to obtain the store order data, distribution warehouse information and logistics information within the monitoring period; the logistics information includes the logistics road length, the observation section length, the average road width and weather information, and the weather information includes regional visibility; the store order data includes the cargo model, the order store address, the order number, and the order quantity of each cargo model; the store order data described in this embodiment includes multiple orders, and the store order data is the distribution store order data submitted by each store to the distribution management platform; the distribution warehouse information includes the distribution warehouse number, the distribution warehouse location, the distribution warehouse capacity and the distribution warehouse cargo list; the distribution warehouse cargo The list includes the quantity of goods of each type of goods model and the occupancy ratio of the distribution warehouse, the occupancy ratio of the distribution warehouse is the ratio between the storage volume of the distribution warehouse and the volume of the distribution warehouse; the distribution warehouse number is the counting number of the distribution warehouse, and the numbering sequence is in ascending order according to the distance from the only source warehouse; this embodiment does not make specific limitations on the value of the monitoring period, and technical personnel in this field can set it freely, as long as the value requirements of the monitoring period are met, such as the value of the monitoring period can be set to 3 hours; in this embodiment, the method for obtaining store order data and distribution warehouse information is user interactive input, and the method for obtaining logistics information is through the traffic meteorological website.

[0043] Please continue reading Figure 1 As shown, the intelligent warehousing cargo sorting system further includes a location analysis module, which is used to analyze the distribution warehouse sequence according to the store order data and the distribution warehouse information, and the location analysis module is connected to the information acquisition module; the distribution warehouse sequence is a queue of distribution warehouse numbers;

[0044] The location analysis module analyzes the delivery distance d(i) according to the order store address and the locations of each distribution warehouse;

[0045] The location analysis module counts the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address, and uses the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address as the ranking weight D(i) of each distribution warehouse;

[0046] Where i is the distribution warehouse number, set i = 1, 2...Q, Q is the number of distribution warehouses;

[0047] The location analysis module arranges the numbers of the distribution warehouses in ascending order according to the ranking weights of the locations of the distribution warehouses, and uses the arrangement results as the distribution warehouse sequence.

[0048] It can be understood that the present embodiment does not specifically limit the statistical process of the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address. Technical personnel in this field can set it freely, and it is only necessary to meet the statistical requirements of the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address. For example, the shortest transportation road from each distribution warehouse location to the order store address can be used as the shortest transportation distance dmin(i).

[0049] Specifically, the location analysis module improves the accuracy of the distribution warehouse sequence analysis by analyzing the distribution warehouse sequence, thereby improving the accuracy of the storage status analysis, thereby improving the accuracy of the distribution warehouse selection for the order goods, thereby improving the accuracy of the sorting scheme analysis for the order goods, and ultimately improving the efficiency of sorting the stored goods.

[0050] Please continue reading Figure 1 As shown, the intelligent warehousing cargo sorting system also includes a logistics analysis module, which is used to adjust the analysis process of the distribution warehouse sequence according to the logistics information within the monitoring period, and the logistics analysis module is connected to the location analysis module.

[0051] See also Figure 2As shown, the logistics analysis module includes a road condition analysis unit, which is used to analyze the road conditions of the route from each distribution warehouse location to the order store address according to the traffic information within the monitoring period, and adjust the analysis process of the distribution warehouse sequence according to the road condition analysis results: if α(i)≥B, the road condition analysis unit determines that the road condition of the route from the distribution warehouse to the order store address is abnormal, and adjusts the sorting weight of the distribution warehouse location to D'(i), setting D'(i)=D'(i)×sin{[B-α (i)] / B}; if α (i)<B, the road condition analysis unit determines that the road condition of the route from the distribution warehouse to the order store address is normal, and no adjustment is made; the road condition analysis unit analyzes the road conditions of the route from each distribution warehouse location to the order store address within the monitoring period, and adjusts the analysis process of the distribution warehouse sequence according to the road condition analysis results, thereby improving the accuracy of the distribution warehouse sequence analysis;

[0052] Among them, α(i) is the road condition index from the distribution warehouse with distribution warehouse number i to the order store address, and α(i)=K(i) / [L(i)×W(i)] is set, L(i) is the instantaneous number of vehicles on the road in the observed section from the distribution warehouse with distribution warehouse number i to the order store address, K(i) is the observed section length from the distribution warehouse with distribution warehouse number i to the order store address, W(i) is the average road width from the distribution warehouse with distribution warehouse number i to the order store address, and B is a preset road condition index; the road condition analysis unit calculates the road condition index to analyze the road conditions that affect the user waiting time and thus the user experience in the logistics distribution process, thereby adjusting the analysis process of the distribution warehouse sequence and improving the accuracy of the distribution warehouse sequence.

[0053] Specifically, this embodiment does not impose any specific limitation on the value of the preset road condition index B, and those skilled in the art can freely set it as long as the value requirement of the preset road condition index B is met. For example, the preset road condition index B can be set to 0.4.

[0054] Please continue reading Figure 2As shown, the logistics analysis module also includes a meteorological analysis unit, which is used to optimize the adjustment process of the distribution warehouse sequence according to the meteorological information within the monitoring period. The meteorological analysis unit is connected to the road condition analysis unit, wherein: if β(i) < C, the meteorological analysis unit determines that the meteorological state from the distribution warehouse to the order store address is normal and does not make adjustments; if β(i) ≥ C, the meteorological analysis unit determines that the meteorological state from the distribution warehouse to the order store address is abnormal, and optimizes the preset road condition index to B', setting B' = B × {1-arctan{[β(i)-C] / C}}; the meteorological analysis unit calculates the meteorological anomaly index to judge the meteorological state in the logistics distribution process, and then optimizes the adjustment process of the distribution warehouse sequence, thereby realizing the secondary accuracy optimization of the distribution warehouse sequence;

[0055] Among them, β(i) is the weather anomaly index from the distribution warehouse with distribution warehouse number i to the order store address, and β(i)=ln[1+(Ff(i)) / F] is set, F is the preset visibility, f(i) is the regional visibility from the distribution warehouse with distribution warehouse number i to the order store address, and C is the preset weather anomaly index.

[0056] Specifically, this embodiment does not impose any specific restrictions on the values ​​of C and the preset visibility F. Technical personnel in this field can set them freely as long as the value requirements of C and the preset visibility F are met. For example, C can be set to 0.5 and F can be set to 50m.

[0057] Please continue reading Figure 1 As shown, the intelligent warehousing cargo sorting system also includes a warehousing status analysis module, which is used to analyze the warehousing status of each distribution warehouse within the monitoring period according to the distribution warehouse information and store order data, and send a replenishment request to the administrator according to the warehousing status analysis results of each distribution warehouse. The warehousing status analysis module is connected to the logistics analysis module.

[0058] See also Figure 3 As shown, the storage status analysis module includes a cargo inventory analysis unit, which is used to analyze the cargo inventory status of each distribution warehouse within the monitoring period according to the distribution warehouse sequence analysis results, distribution warehouse information and store order data;

[0059] The cargo inventory analysis unit uses the distribution warehouse number 1 in the distribution warehouse sequence as the pre-selected distribution warehouse number, and uses the distribution warehouse corresponding to the pre-selected distribution warehouse number as the pre-selected distribution warehouse; the cargo inventory analysis unit selects the pre-selected distribution warehouse as the representative distribution warehouse instead of performing cargo inventory status analysis on all distribution warehouses, thereby improving the efficiency of analyzing the cargo inventory status of each distribution warehouse within the monitoring period;

[0060] The goods inventory analysis unit counts the number of orders n(j) of the same type of goods in the pre-selected distribution warehouse during the monitoring period, and compares the number of orders n(j) of the same type of goods with the number of goods in stock N(j), and analyzes the goods inventory status of the pre-selected distribution warehouse according to the comparison result: if n(j) < N(j), the goods inventory analysis unit determines that the goods inventory status of the pre-selected distribution warehouse for this type of goods in the monitoring period is abnormal; if n(j) ≥ N(j), the goods inventory analysis unit determines that the goods inventory status of the pre-selected distribution warehouse for this type of goods in the monitoring period is normal; the goods inventory analysis unit makes a specific analysis of the goods inventory status of the pre-selected distribution warehouse by judging the quantity of goods of different types of goods;

[0061] Among them, j is the product model number, n(j) represents the order quantity of the j-th product model, and N(j) represents the inventory quantity of the j-th product model.

[0062] Please continue reading Figure 3 As shown, the storage status analysis module also includes a storage analysis unit that analyzes the inventory status of the warehouse within the monitoring period according to the goods inventory status analysis results of each distribution warehouse within the monitoring period and the distribution warehouse information, and the storage analysis unit is connected to the goods inventory analysis unit;

[0063] The warehouse analysis unit counts the number n1 of goods models whose inventory status is normal in the pre-selected distribution warehouse during the monitoring period, and compares the number n1 of goods models whose inventory status is abnormal in the pre-selected distribution warehouse with the preset number N1, and analyzes the inventory status of the distribution warehouse according to the comparison result and the distribution warehouse occupancy ratio μ(i): if n1<N1 and μ(i)<U at this time, the warehouse analysis unit determines that the inventory status of the pre-selected distribution warehouse is normal; if n1≥N1 and μ(i)<U at this time, the warehouse analysis unit determines that the inventory status of the pre-selected distribution warehouse is normal. The inventory status of the distribution warehouse is out of stock abnormally; if μ(i)≥U at this time, the storage analysis unit determines that the inventory status of the pre-selected distribution warehouse is abnormally piled up, and corrects the analysis process of the distribution warehouse sequence, corrects the sorting weight of the pre-selected distribution warehouse to D(i)(j), and sets D(i)(j)=D(i)×[N(j)-n(j)] / n(j); the storage analysis unit analyzes the inventory status of the distribution warehouse and sends a replenishment request to the administrator according to the analysis result, thereby improving the accuracy of the storage status analysis;

[0064] Wherein, D(i)(j) represents the sorting weight of the cargo model numbered j in the distribution warehouse numbered i, and U is the preset ratio value.

[0065] Specifically, this embodiment does not impose any specific restrictions on the values ​​of the preset quantity N1 and the preset ratio value U. Technical personnel in this field can set them freely as long as the value requirements of the preset quantity N1 and the preset ratio value U are met. For example, the preset quantity N1 can be set to 10% of the number of cargo models stored in the distribution warehouse, and the preset ratio value U can be set to 70%.

[0066] Please continue reading Figure 1 As shown, the intelligent warehousing goods sorting system further includes a warehouse selection module, which is used to select a distribution warehouse for the order goods according to the distribution warehouse sequence analysis results and the storage status analysis results of each distribution warehouse, and the warehouse selection module is connected to the location analysis module and the storage status analysis module;

[0067] The selection process of the distribution warehouse for order goods is as follows:

[0068] If the storage status of the pre-selected distribution warehouse is normal, the warehouse selection module will use the pre-selected distribution warehouse as the selected warehouse; if the storage status of the pre-selected distribution warehouse is abnormal goods shortage, the warehouse selection module will delete the pre-selected distribution warehouse from the distribution warehouse sequence, and move up the order of the remaining distribution warehouses in the distribution warehouse sequence; if the storage status of the pre-selected distribution warehouse is abnormal stacking excess, the warehouse selection module will use the pre-selected distribution warehouse as the selected warehouse; the warehouse selection module improves the accuracy of selecting the distribution warehouse for the order goods by selecting the distribution warehouse for the order goods, thereby improving the accuracy of the sorting scheme analysis for the order goods, and ultimately improving the efficiency of sorting the stored goods.

[0069] Specifically, after "moving up the order of the remaining distribution warehouses in the distribution warehouse sequence", this embodiment needs to continuously perform warehouse selection judgment on the first sequence in the distribution warehouse sequence until a distribution warehouse is selected as the selected warehouse or there is no distribution warehouse number in the distribution warehouse sequence.

[0070] Please continue reading Figure 1 As shown, the intelligent warehousing cargo sorting system also includes a sorting analysis module, which is used to analyze the logistics pressure of each distribution warehouse according to the selection result of the distribution warehouse of the order goods within the monitoring period, and analyze the cargo sorting strategy of each distribution warehouse according to the logistics pressure analysis result of each distribution warehouse, and is also used to generate a sorting plan for the order goods according to the analysis result of the cargo sorting strategy of the distribution warehouse, and output the sorting plan for the order goods to the user. The sorting analysis module is connected to the warehouse selection module.

[0071] See also Figure 4 As shown, the sorting analysis module is provided with a pressure analysis unit, which is used to analyze the logistics pressure of each distribution warehouse according to the distribution storage selection results of the ordered goods within the monitoring period;

[0072] The pressure analysis unit counts the total number of selected orders n2 and the number of orders n2(j) of each type of goods in each distribution warehouse in the monitoring period according to the distribution storage selection results of the ordered goods in the monitoring period;

[0073] The pressure analysis unit compares the total number n2 of selected orders of the distribution warehouse with each preset number, and analyzes the logistics pressure of each distribution warehouse according to the comparison result, and the analysis process is as follows: if n2<P1 at this time, the pressure analysis unit determines that the logistics pressure of the distribution warehouse during the monitoring period is small; if P1≤n2<P2 at this time, the pressure analysis unit determines that the logistics pressure of the distribution warehouse during the monitoring period is normal; if n2≥P2 at this time, the pressure analysis unit determines that the logistics pressure of the distribution warehouse during the monitoring period is large; the pressure analysis unit improves the accuracy of the logistics pressure analysis of each distribution warehouse by analyzing the logistics pressure of each distribution warehouse, thereby improving the accuracy of the sorting strategy analysis;

[0074] Wherein, P1 is the first preset order quantity, P2 is the second preset order quantity, and P1<P2.

[0075] Specifically, this embodiment does not impose any specific restrictions on the values ​​of the first preset order quantity P1 and the second preset order quantity P2. Technical personnel in this field can set them freely as long as the value requirements of the first preset order quantity P1 and the second preset order quantity P2 are met. For example, the first preset order quantity P1 can be set to 10 pieces, and the second preset order quantity P2 can be set to 200 pieces. At the same time, the cargo sorting strategy described in this embodiment includes order-based picking strategy, compound picking strategy and batch picking strategy.

[0076] Please continue reading Figure 4 As shown, the sorting analysis module is further provided with a sorting strategy selection unit, which is used to analyze the goods sorting strategy of each distribution warehouse according to the logistics pressure analysis results of each distribution warehouse within the monitoring period, and the sorting strategy selection unit is connected to the pressure analysis unit;

[0077] The cargo sorting strategies for each distribution warehouse are as follows:

[0078] When the logistics pressure analysis result of the distribution warehouse is that the logistics pressure is small, the sorting strategy selection unit sets the goods sorting strategy of the distribution warehouse to the order-specific picking strategy; when the logistics pressure analysis result of the distribution warehouse is that the logistics is normal, the data sorting strategy selection unit sets the goods sorting strategy of the distribution warehouse to the composite picking strategy; when the logistics pressure analysis result of the distribution warehouse is that the logistics pressure is large, the analysis strategy selection unit sets the goods sorting strategy of the distribution warehouse to the batch picking strategy; the sorting strategy selection unit analyzes the goods sorting strategy of each distribution warehouse according to the logistics pressure analysis result of each distribution warehouse within the monitoring period, improves the accuracy of the sorting strategy analysis, thereby improving the analysis of the sorting scheme of the order goods, and then improves the accuracy of the sorting scheme analysis of the order goods, and finally improves the efficiency of sorting the stored goods.

[0079] Please continue reading Figure 4 As shown, the sorting analysis module is further provided with a solution analysis unit, which is used to generate a sorting solution for the order goods according to the goods sorting strategy analysis results of the distribution warehouse within the monitoring period and the order quantity n2(j) of each type of goods model, and the solution analysis unit is connected to the sorting strategy selection unit;

[0080] The sorting scheme generation process is as follows:

[0081] When the goods sorting strategy of the distribution warehouse is order-specific picking, the solution analysis unit sets the sorting solution of the order goods of the distribution warehouse to separate picking;

[0082] When the goods sorting strategy of the distribution warehouse is compound picking, if n2(j)≥N2 and v(j)≥V, the solution analysis unit sets the sorting scheme of the order goods of the j-th type of goods model of the distribution warehouse to batch picking; if n2(j)≥N2 and v(j)<V, the solution analysis unit sets the sorting scheme of the order goods of the j-th type of goods model of the distribution warehouse to batch picking; if n2(j)<N2 and v(j)≥V, the solution analysis unit sets the sorting scheme of the order goods of the j-th type of goods model of the distribution warehouse to batch picking, and sets the picking quantity to v(j)×T; if n2(j)<N2 and v(j)<V, the solution analysis unit sets the sorting scheme of the order goods of the distribution warehouse to individual picking;

[0083] When the goods sorting strategy of the distribution warehouse is batch picking, if n2(j)≥N3, the solution analysis unit sets the sorting scheme of the order goods with the goods model j of the distribution warehouse to batch picking; if n2(j)<N3, the solution analysis unit sets the sorting scheme of the order goods with the goods model j of the distribution warehouse to single picking;

[0084] Among them, N2 is the first preset single-type cargo ratio, N3 is the second preset single-type cargo ratio, v(j) is the shipping frequency of cargo with cargo model j, V is the preset shipping frequency, and T is the duration of the monitoring period; the scheme analysis unit analyzes the sorting scheme of the order cargo according to the cargo sorting strategy analysis results of the distribution warehouse during the monitoring period and the order quantity of each cargo model, thereby improving the analysis of the sorting scheme of the order cargo, thereby improving the accuracy of the sorting scheme analysis of the order cargo, and ultimately improving the efficiency of sorting the warehouse cargo.

[0085] Specifically, the individual picking described in this embodiment is to pick each product individually according to the store order data, and the batch picking is to pick products of the same type and model in a unified manner.

[0086] Please continue reading Figure 4 As shown, the sorting analysis module also includes a solution output unit, which is used to output the sorting solution of the order goods to the user, and the solution output unit is connected to the solution analysis unit.

[0087] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An intelligent warehouse cargo sorting system, characterized in that: include: Information acquisition module, used to obtain store order data, distribution warehouse information and logistics information within the monitoring period; Location analysis module, used to analyze the distribution warehouse sequence based on store order data and distribution warehouse information; Logistics analysis module, used to adjust the analysis process of the distribution warehouse sequence according to the logistics information within the monitoring period; The storage status analysis module is used to analyze the storage status of each distribution warehouse within the monitoring period based on the distribution warehouse information, store order data and distribution warehouse sequence analysis results; The warehouse selection module is used to select the distribution warehouse of the order goods according to the distribution warehouse sequence analysis results and the storage status analysis results of each distribution warehouse; The sorting analysis module is used to analyze the logistics pressure of each distribution warehouse according to the selection results of the distribution warehouse of the order goods within the monitoring period, and to analyze the goods sorting strategy of each distribution warehouse according to the logistics pressure analysis results of each distribution warehouse, and to generate a sorting plan for the order goods according to the analysis results of the goods sorting strategy of the distribution warehouse, and output the sorting plan for the order goods to the user.

2. The intelligent warehousing cargo sorting system according to claim 1 is characterized in that: The location analysis module analyzes the delivery distance d(i) according to the order store address and the locations of each distribution warehouse; The location analysis module counts the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address, and uses the shortest transportation distance dmin(i) from each distribution warehouse location to the order store address as the ranking weight D(i) of each distribution warehouse; Where i is the distribution warehouse number, set i = 1, 2...Q, Q is the number of distribution warehouses; The location analysis module arranges the numbers of the distribution warehouses in ascending order according to the ranking weights of the locations of the distribution warehouses, and uses the arrangement results as the distribution warehouse sequence.

3. The intelligent warehouse cargo sorting system according to claim 2 is characterized in that: The logistics analysis module is provided with a road condition analysis unit, which is used to analyze the road condition of the route from each distribution warehouse location to the order store address according to the traffic information in the monitoring period, and adjust the analysis process of the distribution warehouse sequence according to the road condition analysis result: if α(i)≥B, the road condition analysis unit determines that the road condition of the route from the distribution warehouse to the order store address is abnormal, and adjusts the sorting weight of the distribution warehouse location to D'(i); if α(i)<B, the road condition analysis unit determines that the road condition of the route from the distribution warehouse to the order store address is normal, and no adjustment is made; Among them, α(i) is the road condition index from the distribution warehouse with distribution warehouse number i to the order store address, and B is the preset road condition index.

4. The intelligent warehouse cargo sorting system according to claim 3 is characterized in that: The logistics analysis module is further provided with a meteorological analysis unit, which is used to optimize the adjustment process of the distribution warehouse sequence according to the meteorological information in the monitoring period: if β(i)<C, the meteorological analysis unit determines that the meteorological state from the distribution warehouse to the order store address is normal and does not make any adjustment; if β(i)≥C, the meteorological analysis unit determines that the meteorological state from the distribution warehouse to the order store address is abnormal, and optimizes the preset road condition index to B'; Among them, β(i) is the meteorological anomaly index from the distribution warehouse with distribution warehouse number i to the order store address.

5. The intelligent warehouse cargo sorting system according to claim 4 is characterized in that: The cargo inventory status analysis module is provided with a cargo inventory analysis unit, which is used to analyze the cargo inventory status of each distribution warehouse within the monitoring period according to the distribution warehouse sequence analysis result, distribution warehouse information and store order data; The cargo inventory analysis unit uses the distribution warehouse number 1 in the distribution warehouse sequence as the pre-selected distribution warehouse number, and uses the distribution warehouse corresponding to the pre-selected distribution warehouse number as the pre-selected distribution warehouse; The cargo inventory analysis unit counts the number of orders n(j) for the same cargo model of the pre-selected distribution warehouse during the monitoring period, and compares the number of orders n(j) for the same cargo model with the number of similar inventory cargo N(j) to determine the cargo inventory status of the pre-selected distribution warehouse, where the cargo inventory status of the pre-selected distribution warehouse includes normal and abnormal; Among them, j is the product model number, n(j) represents the order quantity of the j-th product model, and N(j) represents the inventory quantity of the j-th product model.

6. The intelligent warehouse cargo sorting system according to claim 5 is characterized in that: The storage status analysis module is further provided with a storage analysis unit, which is used to analyze the inventory status of the warehouse within the monitoring period according to the goods inventory status analysis results of each distribution warehouse within the monitoring period and the distribution warehouse information; The storage analysis unit counts the number n1 of goods models with normal inventory status of the pre-selected distribution warehouse within the monitoring period, and compares the number n1 of goods models with abnormal inventory status of the pre-selected distribution warehouse with the preset number N1 to determine the inventory status of the distribution warehouse, the inventory status of the distribution warehouse includes normal, out-of-stock abnormal, and overstock abnormal, and when the inventory status of the distribution warehouse is overstock abnormal, the sorting weight of the pre-selected distribution warehouse is corrected to D(i)(j); Wherein, D(i)(j) represents the sorting weight of the cargo model numbered j in the distribution warehouse numbered i.

7. The intelligent warehouse cargo sorting system according to claim 6, characterized in that: The warehouse selection module selects the distribution warehouse of the order goods according to the distribution warehouse sequence analysis results and the storage status analysis results of each distribution warehouse: if the storage status of the pre-selected distribution warehouse is normal, the warehouse selection module selects the pre-selected distribution warehouse as the selected warehouse; if the storage status of the pre-selected distribution warehouse is abnormal goods shortage, the warehouse selection module deletes the pre-selected distribution warehouse from the distribution warehouse sequence, and moves up the order of the remaining distribution warehouses in the distribution warehouse sequence; If the storage status of the pre-selected distribution warehouse is abnormally excessive accumulation, the warehouse selection module will select the pre-selected distribution warehouse as the selected warehouse.

8. The intelligent warehouse cargo sorting system according to claim 7, characterized in that: The sorting analysis module is provided with a pressure analysis unit, which counts the total number of selected orders n2 and the number of orders of various types of goods n2(j) of each distribution warehouse within the monitoring period according to the distribution storage selection results of the ordered goods within the monitoring period; The pressure analysis unit compares the total number n2 of selected orders of the distribution warehouse with each preset number to determine the logistics pressure of each distribution warehouse. The logistics pressure of each distribution warehouse includes low logistics pressure, normal logistics pressure and high logistics pressure.

9. The intelligent warehouse cargo sorting system according to claim 8, characterized in that: The sorting analysis module is also provided with a sorting strategy selection unit, which is used to determine the goods sorting strategy of each distribution warehouse according to the logistics pressure analysis results of each distribution warehouse during the monitoring period. The goods sorting strategy of each distribution warehouse includes order-based picking strategy, compound picking strategy and batch picking strategy.

10. The intelligent warehouse cargo sorting system according to claim 9, characterized in that: The sorting analysis module is also provided with a solution analysis unit, which is used to generate a sorting solution for the order goods according to the goods sorting strategy analysis results of the distribution warehouse during the monitoring period and the order quantity n2(j) of each type of goods model. The sorting solution for the order goods includes single picking, batch picking and compound picking.

Images