Hub object sorting method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for sorting objects in a hub. The method includes: obtaining the number of flows of objects passing through the target hub during peak hours and the amount of flow pieces corresponding to each flow direction; determining whether to adopt a mixed sorting method based on the number of flows and the flow number threshold; if so, sorting the amount of flow pieces in each flow direction in descending order to obtain flow flow distribution data; determining the flow flow set and the required number of sorting equipment for the direct sorting method in the mixed sorting method, and the flow flow set and the required number of sorting equipment for the pre-sorting method in the mixed sorting method based on the flow flow distribution data and the total flow flow. The use of this method can improve the sorting efficiency of the target hub for objects.

Description

Technical Field

[0001] The present application relates to the field of logistics technology, and in particular to a hub object sorting method, device, computer equipment and storage medium. Background Art

[0002] Currently, air hubs serve as logistics transit points. After arriving at the hub by air or land, express shipments are sorted through various systems, such as the Container Handling System (CHS) and the Material Handling System (MHS). CHS is for full pallets (shipments with the same destination packed in a single air container). After unloading at the hub, these shipments do not need to be unpacked. Most shipments are sorted by the CHS, transported to the apron, loaded onto aircraft, and then shipped to the next city. Shipments with shorter delivery times are manually sorted and shipped directly to the next aircraft after unloading. MHS is for mixed pallets (shipments with different destinations packed in a single air container). After unloading at the hub, these shipments need to be unpacked. After unpacking, the unpacked packages / parcels enter the MHS for sorting, re-palletizing, transported to the apron, loaded onto aircraft, and shipped to the next city. In the MHS, after unpacking, the shipments are sorted into parcels, items, and non-palletized items based on size and shape, and sorted into different sorting areas.

[0003] However, the current hub object sorting method is only applicable to hubs with low demand for sorted objects and fixed sorting directions, making the hub object sorting method single and simple, resulting in low sorting efficiency of hub sorting objects. Summary of the Invention

[0004] Based on this, it is necessary to provide a hub object sorting method, device, computer equipment and storage medium that can improve the hub object sorting efficiency in response to the above technical problems.

[0005] A hub object sorting method, the method comprising:

[0006] Obtain the number of flow directions of objects passing through the target hub during the peak period and the flow quantity of each flow direction; the peak period is a time period when the number of flow directions of objects is greater than or equal to the flow quantity threshold and the flow quantity of each flow direction is greater than or equal to the flow quantity threshold;

[0007] Determining whether to adopt a mixed sorting method according to the flow direction quantity and the flow direction quantity threshold;

[0008] If so, the flow quantity of each flow direction is sorted in descending order to obtain the flow distribution data;

[0009] According to the flow flow distribution data and the total flow volume, the flow flow set and the required number of sorting equipment for the direct sorting method in the mixed sorting method are determined, as well as the flow flow set and the required number of sorting equipment for the pre-sorting method in the mixed sorting method are determined.

[0010] In one embodiment, determining the flow flow set and the required number of sorting devices for a direct sorting method in the mixed sorting method based on the flow flow distribution data and the total flow volume, and determining the flow flow set and the required number of sorting devices for a pre-sorting method in the mixed sorting method, includes:

[0011] Determining a flow direction cumulative value and a flow direction cumulative value according to the flow direction flow distribution data and the total flow direction piece quantity;

[0012] According to the preset sorting strategy data, based on the accumulated flow direction value and the accumulated flow direction quantity, the flow direction flow that reaches a preset proportion of the total flow direction quantity is used as a first flow direction flow set using a direct sorting method, and the number of sorting devices required to sort the first flow direction flow set is determined;

[0013] The flow rate that does not reach the preset proportion value is used as the second flow rate in the pre-sorting manner, and the number of sorting devices required to sort the second flow rate set is determined.

[0014] In one embodiment, determining the number of sorting devices required to sort the first flow direction flow set includes:

[0015] Obtaining the sorting idle value and sorting equipment initial value of the target hub;

[0016] Sorting the flow rates of each direction in the first flow rate set, and sequentially detecting the flow rates of each direction in the sorted first flow rate set;

[0017] When it is detected that the flow rate is greater than the sorting idle value, the sorting device initial value and the sorting idle value are updated until each flow rate in the first flow rate set is allocated to a corresponding sorting device, thereby obtaining the number of sorting devices required to sort the first flow rate set.

[0018] In one embodiment, determining the number of sorting devices required to sort the second flow direction flow set includes:

[0019] Get the sorting capacity value of the sorting equipment;

[0020] Determining the number of pre-sorting devices according to the sorting capacity value and the flow direction piece quantity value of the second flow direction flow set;

[0021] The corresponding flow direction flow is sorted by the pre-sorting and sorting equipment to determine a third flow direction flow set, and the step of obtaining the sorting idle value and the initial value of the sorting equipment of the target hub is performed to determine the number of sorting equipment required to sort the second flow direction flow set.

[0022] In one embodiment, the method further comprises:

[0023] When it is detected that the flow rate is less than or equal to the sorting idle value, sorting is performed based on the current sorting device, and the sorting idle value and the first flow rate set are updated. Then, the steps of sorting the flow rates of each direction in the first flow rate set are performed, and the steps of detecting each flow rate in the sorted first flow rate set are performed in sequence.

[0024] In one embodiment, determining the sorting strategy data includes:

[0025] Determine the growth coefficient of flow rate according to the number of flow items in each direction on a daily basis;

[0026] Determine the target hub for sorting items based on the cost / time efficiency of transit / direct flights through different hubs for different flows;

[0027] Determining preset sorting strategy data based on the growth coefficient and the target hub;

[0028] According to the preset sorting strategy data and simulation parameters, simulate sorting of objects in each flow direction according to the preset time granularity to obtain the sorting efficiency value and flow quantity threshold of the sorting equipment;

[0029] Sorting strategy data is determined according to the sorting efficiency value and the flow direction quantity threshold.

[0030] In one embodiment, the method further comprises:

[0031] Obtaining the timeliness type of objects passing through the target hub during the peak period;

[0032] Determining non-urgent objects with non-urgent time limits from the objects according to the time limit type; the flow direction quantity of the non-urgent objects is less than the flow direction quantity threshold;

[0033] The non-urgent items are gathered during off-peak hours and sorted using idle sorting equipment.

[0034] A hub object sorting device, comprising:

[0035] an acquisition module, configured to acquire the number of flows passing through the target hub during a peak period and the number of flow items corresponding to each flow direction; the peak period being a time period when the number of flow items in a direction is greater than or equal to a flow number threshold and the number of flow items in a direction is greater than or equal to a flow item threshold;

[0036] a determination module, configured to determine whether to adopt a mixed sorting mode according to the flow direction quantity and the flow direction quantity threshold;

[0037] A sorting module is used to sort the flow quantity of each flow direction in descending order to obtain flow distribution data;

[0038] The sorting module is used to determine the flow rate and the required number of equipment for the direct sorting method in the mixed sorting method according to the flow rate distribution data and the total flow rate of the items, and to determine the flow rate and the required number of sorting equipment for the pre-sorting method in the mixed sorting method.

[0039] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0040] Obtain the number of flow directions of objects passing through the target hub during the peak period and the flow quantity of each flow direction; the peak period is a time period when the number of flow directions of objects is greater than or equal to the flow quantity threshold and the flow quantity of each flow direction is greater than or equal to the flow quantity threshold;

[0041] Determining whether to adopt a mixed sorting method according to the flow direction quantity and the flow direction quantity threshold;

[0042] If so, the flow quantity of each flow direction is sorted in descending order to obtain the flow distribution data;

[0043] According to the flow flow distribution data and the total flow volume, the flow flow set and the required number of sorting equipment for the direct sorting method in the mixed sorting method are determined, as well as the flow flow set and the required number of sorting equipment for the pre-sorting method in the mixed sorting method are determined.

[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0045] Obtain the number of flow directions of objects passing through the target hub during the peak period and the flow quantity of each flow direction; the peak period is a time period when the number of flow directions of objects is greater than or equal to the flow quantity threshold and the flow quantity of each flow direction is greater than or equal to the flow quantity threshold;

[0046] Determining whether to adopt a mixed sorting method according to the flow direction quantity and the flow direction quantity threshold;

[0047] If so, the flow quantity of each flow direction is sorted in descending order to obtain the flow distribution data;

[0048] According to the flow flow distribution data and the total flow volume, the flow flow set and the required number of sorting equipment for the direct sorting method in the mixed sorting method are determined, as well as the flow flow set and the required number of sorting equipment for the pre-sorting method in the mixed sorting method are determined.

[0049] The above-mentioned hub object sorting method, device, computer equipment and storage medium determine whether a mixed sorting method needs to be adopted based on the number of flows passing through the target hub during the peak period and the flow number threshold; when it is determined to adopt the mixed sorting method, the flow quantity of each flow direction is sorted in a sorting manner to obtain the flow flow distribution data; based on the flow flow distribution data and the total flow quantity of the flow direction during the peak period, the specific sorting mode adopted by the mixed sorting mode and the number of sorting equipment required for sorting the flow flow corresponding to each sorting mode can be determined, which solves the problem of only being able to use a single sorting mode to sort objects during the peak period according to the flow direction of the objects or the flow quantity of each flow direction, and improves the sorting efficiency of the sorting equipment by determining a reasonable number of sorting equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A diagram illustrating an application environment of a hub object sorting method according to an embodiment;

[0051] Figure 2 1 is a flow chart of a hub object sorting method according to an embodiment;

[0052] Figure 3 A schematic diagram of the distribution of flow-distributed data in one embodiment;

[0053] Figure 4 1 is a flow chart of a method for determining sorting strategy data in one embodiment;

[0054] Figure 5 A flow chart of a method for determining the number of sorting devices required for a direct sorting method in one embodiment;

[0055] Figure 6 A flow chart of a method for determining the number of sorting devices required for a pre-sorting method in one embodiment;

[0056] Figure 7 is a flow chart of a hub object sorting method according to another embodiment;

[0057] Figure 8 This is a schematic diagram of flight departure time distribution in one embodiment;

[0058] Figure 9 A schematic diagram comparing a pre-sorting method and two mixed sorting methods in one embodiment;

[0059] Figure 10 This is a structural block diagram of a hub object sorting device in one embodiment;

[0060] Figure 11 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0062] The hub object sorting method provided by this application can be applied to Figure 1 In the application environment shown. The terminal 102 communicates with the server 104 via a network. The terminal 102 obtains from the server 104 the number of flows of objects passing through the target hub during peak hours and the corresponding flow quantity of each flow direction; determines whether to adopt a mixed sorting method based on the number of flows and the flow quantity threshold; if so, sorts the flow quantity of each flow direction in descending order to obtain flow flow distribution data; and determines, based on the flow flow distribution data and the total flow quantity, the flow flow set and the required number of sorting devices for the mixed sorting method using the direct sorting method, and the flow flow set and the required number of sorting devices for the pre-sorting method. The terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, and portable wearable devices, and the server 104 can be implemented as an independent server or a server cluster consisting of multiple servers.

[0063] In one embodiment, Figure 2 As shown, a hub object sorting method is provided, which is applied to Figure 1 The following steps are used as an example to illustrate the terminal in the figure:

[0064] Step 202 : Obtain the number of flow directions of objects passing through the target hub during the peak period and the flow quantity of objects corresponding to each flow direction.

[0065] The peak period refers to the time period when the number of object flows is greater than or equal to the flow number threshold and the number of flow pieces is greater than or equal to the flow piece threshold. The flow number threshold and the flow piece threshold are determined according to the sorting capacity of the sorting equipment. For example, a double-layer circular cross-belt sorter can meet the sorting requirements of sorting 340 flows and 100kpph at the same time. The flow number threshold and the flow piece threshold can be determined as 250 flows / 89kpph. For example, the object sorting time window includes four time periods A, B, C, and D. If the number of object flows in time period A is greater than the flow piece threshold and the flow number is greater than the flow piece threshold, time period A is the peak period. Peak periods can be, but are not limited to, holidays, e-commerce festivals, etc. Flow volume refers to the number of items in each flow direction. The target hub is determined from each candidate hub based on parameters such as the cost and time efficiency of transit / direct flights for different flow directions through different candidate hubs. This is determined by using the transit / direct flight ratio output from a discrete choice model (e.g., a logit model). For example, flow direction AB can transit through four candidate hubs: C, D, E, and F. The target hub is then determined from these four candidate hubs based on the cost and time efficiency of each hub.

[0066] The probability of each alternative hub being selected in the discrete choice model follows: P = e (β0+β1x1+β2x2) / (1+e (β0+β1x1+β2x2) )(in, β1 The customer's sensitivity to cost, β2 is the customer's sensitivity to timeliness, β0 = x1 is the coefficient of non-cost and time efficiency, which can be customer habits, etc., x1 is the cost variable, and x2 is the time efficiency variable. For example, there are currently two alternative aviation hubs (hub1 and hub2) in the region. The cost and time efficiency values of AB transiting through hub1 and hub2 are cost1, cost2, time1, and time2 respectively. According to the discrete choice model, the proportion of AB transiting through hub1 is P1 = e (β0+β1cost1+β2time1) / (1+e (β0+β1cost1+β2time1) ), the proportion of the flow to AB and transfer through hub1 is P2=e (β0+β1cost2+β2time2) / (1+e (β0+β1cost2+β2time2) ), when the cost and time efficiency of passing through hub1 and hub2 are the same, the proportion of flows through hub1 and hub2 are both 50%, and either one can be selected as the target hub; when the cost / time efficiency of hub1 is better than hub2, the proportion of flows to AB choosing hub1 will increase, and hub1 will be determined as the target hub.

[0067] Specifically, based on the cost / timeliness and other parameters of transit / direct flights in different flow directions through different alternative hubs, the proportion of transit / direct flights in the flow direction output by the discrete choice model is used to obtain the target hub determined from each alternative hub, and the flow quantity of objects in the target hub during the peak period and the flow quantity corresponding to each flow direction are obtained.

[0068] Step 204: Determine whether to adopt a mixed sorting method based on the flow direction quantity and the flow direction quantity threshold.

[0069] The flow quantity threshold is a critical value used to determine whether to adopt a mixed sorting method, determined based on historical sorting data and the sorting equipment's sorting capacity. The sorting capacity includes the number of sorting slots and the maximum sorting rate per hour. For example, if the sorting equipment has 340 sorting slots and the maximum sorting rate per hour is 40,000 parcels, or 40 kph, then the flow quantity threshold can be determined as 300 based on historical sorting data and the sorting equipment's sorting capacity.

[0070] Mixed sorting methods include direct sorting methods and pre-sorting methods, that is, mixed sorting methods are a combination of sorting methods; direct sorting methods are methods in which there are not many directions of objects and the number of objects in each direction is large, that is, the number of sorting grids of the sorting equipment is sufficient but the sorting volume reaches the sorting value of the sorting equipment.

[0071] The pre-sorting method refers to the situation where there are many flow directions of objects and the number of pieces in each flow direction is small, that is, the number of sorting grids of the sorting equipment is insufficient but the sorting volume does not reach the sorting value of the sorting equipment. In this case, the objects need to be merged and pre-sorted.

[0072] Specifically, according to the obtained flow quantity of objects passing through the target hub during the peak period, it is determined whether to adopt the mixed sorting method according to the flow quantity and the flow quantity threshold.

[0073] Step 206: If yes, sort the flow direction quantities of each flow direction in descending order to obtain flow direction flow distribution data.

[0074] Among them, the flow traffic distribution data includes the flow cumulative probability value distribution and the flow quantity cumulative probability value distribution. For example, there are 100 flow directions of objects passing through the target hub. The first flow direction accounts for 10% of the total flow direction, and the second flow direction accounts for 8% of the total flow direction. The flow cumulative probability value of the first two flows is 2%, and the flow quantity cumulative probability value is 18%.

[0075] Specifically, when the flow quantity of objects passing through the target hub is greater than the flow quantity threshold, the target hub during the peak period is determined to adopt a mixed sorting method to sort the objects passing through the target hub.

[0076] Step 208: Determine the flow rate set and the required number of sorting equipment for the direct sorting method in the mixed sorting mode based on the flow rate distribution data and the total flow rate, and determine the flow rate set and the required number of sorting equipment for the pre-sorting method in the mixed sorting mode.

[0077] Specifically, based on the flow flow distribution data and the total flow quantity, the flow cumulative value and the flow quantity cumulative value are determined; according to the preset sorting strategy data, based on the flow cumulative value and the flow quantity cumulative value, the flow flow that reaches the preset proportion of the total flow quantity is used as the first flow flow set using the direct sorting method, and the number of sorting equipment required for sorting the first flow flow set is determined; the flow flow that does not reach the preset proportion is used as the second flow flow using the pre-sorting method, and the number of sorting equipment required for sorting the second flow flow set is determined; and the objects flowing to the target hub are sorted according to the determined sorting equipment.

[0078] The preset percentage is determined based on the number of flows and the total number of flows. Figure 3 As shown, based on the flow flow distribution data and the total flow quantity, it can be determined that the flow quantity of the first 90 flow directions (9%) accounts for 40% of the total flow quantity, and the flow quantity of the first 17% flow directions accounts for 60% of the total flow quantity. The first 17% flow directions and the corresponding flow quantity are used as the first flow flow using the direct sorting method, and the remaining flow directions and the corresponding flow quantity are used as the second flow flow using the pre-sorting method.

[0079] In the above-mentioned hub object sorting method, whether a mixed sorting method needs to be adopted is determined based on the number of flows passing through the target hub during the peak period and the flow number threshold; when it is determined to adopt the mixed sorting method, the flow quantity of each flow direction is sorted in a sorting manner to obtain the flow flow distribution data; based on the flow flow distribution data and the total flow quantity during the peak period, the specific sorting mode adopted by the mixed sorting method and the number of sorting equipment required for sorting the flow flow corresponding to each sorting mode can be determined, which solves the problem of only being able to use a single sorting mode to sort objects during the peak period according to the flow direction of the objects or the flow quantity of each flow direction. By determining a reasonable number of sorting equipment, the demand for sorting equipment is reduced and the sorting efficiency of the sorting equipment is improved.

[0080] In one embodiment, Figure 4 As shown, a method for determining sorting strategy data is provided, and the method is applied to Figure 1 The following steps are used as an example to illustrate the terminal in the figure:

[0081] Step 402: Determine the growth coefficient of the flow rate according to the daily flow number of each flow direction.

[0082] Specifically, the business sorting requirements of the aviation hub for item sorting are determined by determining the distance segment of time-sensitive products, obtaining the base number of flow pieces for each direction in the distance segment according to the distance segment; obtaining the historical annual flow piece count of each direction, and using the three-point quantile method, determining the daily flow piece count of each direction based on the historical annual flow piece count of each direction; determining the growth coefficient of the flow rate based on the base number of flow pieces of each direction and the daily flow piece count of each direction, and determining the growth trend of the flow piece count of each direction by determining the growth coefficient. Among them, time-sensitive products include urgent, express and ordinary items, and the distance segment (for example, 800 kilometers) is used to determine whether the item is transported by sea or land, that is, if the transportation distance is less than the distance segment, land transportation can generally be used, and if the transportation distance is greater than or equal to the distance segment, shipping is used.

[0083] Step 404 , determine the target hub for sorting the items based on the cost / time efficiency of transit / direct flights through different hubs for different flows.

[0084] Specifically, based on the cost / time efficiency and other parameters of transit / direct flights of different flow directions through different alternative hubs, the target hub for sorting objects is determined from each alternative hub through the ratio of transit / direct flights of the flow direction output by the discrete choice model logit model.

[0085] Step 406: Determine preset sorting strategy data based on the growth coefficient and the target hub.

[0086] Specifically, the growth amount of objects flowing to the target hub is determined based on the growth coefficient, the preset flow direction quantity and the preset flow direction piece quantity are determined based on the growth amount of objects and the sorting capacity value of the sorting equipment, and the preset sorting strategy data is determined based on the preset flow direction quantity and the preset flow direction piece quantity; the preset sorting strategy data includes a direct sorting method, a pre-sorting method, and a mixed sorting method of direct sorting + pre-sorting; wherein, the preset flow direction quantity can be but is not limited to 300, 1000, and 3000, and the preset flow direction piece quantity can be but is not limited to 100kpph, 200kpph, and 400kpph; nine kinds of preset sorting strategy data can be determined based on the three preset flow direction quantities and the three preset flow direction piece quantities.

[0087] Step 408 : According to the preset sorting strategy data and simulation parameters, simulate sorting is performed on the objects in each flow direction at a preset time granularity to obtain the sorting efficiency value and flow quantity threshold of the sorting equipment.

[0088] The preset time granularity can be, but is not limited to, 5 minutes. Simulation parameters include the number of items in each flow direction, average sorting time, maximum waiting time for package creation, and the cumulative number of items (for example, if a single flow direction accumulates 12 items, it will be packaged; otherwise, wait for a maximum waiting time of X minutes. The value of X is different during peak and normal periods, and the maximum waiting time during peak periods is shorter than the normal maximum waiting time).

[0089] Specifically, based on the preset sorting strategy data, a static simulation model is built through Excel, and the objects in each flow direction are simulated and tested according to the preset time granularity. The simulation is performed based on the flow quantity of each flow direction in each time period, the average sorting time, and the package building rules of the sorting equipment to determine the flow quantity and flow quantity during the peak period. According to the flow quantity and flow quantity during the peak period and the sorting capacity value of the sorting equipment, the estimated number of sorting equipment and the maximum inventory capacity of the target hub are determined.

[0090] Step 410: Determine sorting strategy data based on the sorting efficiency value and the flow quantity threshold.

[0091] Specifically, according to the sorting efficiency value obtained by simulation, it is determined that objects with a flow rate greater than or equal to a flow quantity threshold are sorted in a mixed manner, and objects with a flow rate less than the flow quantity threshold are sorted in a direct manner.

[0092] The above-mentioned method for determining preset sorting strategy data determines the target hub for sorting objects through a discrete selection model, determines the growth coefficient of the flow rate according to the daily number of flow items in each flow direction, determines the preset sorting strategy data based on the growth coefficient and the target hub, and simulates sorting of objects in each flow direction according to the preset sorting strategy data and simulation parameters at a preset time granularity to obtain the sorting efficiency value and flow quantity threshold of the sorting equipment, and determines the sorting strategy data based on the sorting efficiency value and flow quantity threshold; that is, the sorting strategy data for different flow quantity quantities is determined by combining the model, allocation and simulation, thereby improving the object sorting efficiency in actual business scenarios.

[0093] In one embodiment, Figure 5 As shown, a method for determining the number of sorting equipment required for direct sorting is provided, and this method is applied to Figure 1 The following steps are used as an example to illustrate the terminal in the figure:

[0094] Step 502: Obtain the sorting idle value and the initial value of the sorting equipment of the target hub.

[0095] Among them, the sorting idle value is the number of flows and the number of flow items that can be sorted by the target hub; the sorting idle value is determined by subtracting the flow rate of the currently sorted items from the current sorting capacity value of the target hub; the sorting device initial value is the pre-configured value of the target hub for sorting items flowing to the target hub; the sorting device initial value can be, but is not limited to, 1.

[0096] Step 504 : sorting the flow rates of each direction in the first flow rate set, and detecting the sorted flow rates of each direction in the first flow rate set in turn.

[0097] Specifically, the terminal sorts each flow vector in the acquired first flow direction traffic data set according to the number of flow vectors in each direction in order from large to small or from small to large, and detects each flow direction flow in the sorted first flow direction traffic set in turn.

[0098] Step 506: When it is detected that the flow rate is greater than the sorting idle value, the sorting device initial value and the sorting idle value are updated until the flow rates of each direction in the first flow rate set are allocated to the corresponding sorting device, thereby obtaining the number of sorting devices required for sorting the first flow rate set.

[0099] Specifically, when it is detected that the current flow rate is greater than the sorting idle value, that is, the idle sorting equipment in the target hub cannot meet the current flow direction and the number of flow items, at this time, a new sorting equipment is added, and the initial value and the sorting idle value of the sorting equipment are updated. When the updated sorting idle value is greater than the current flow rate, the objects of the current flow rate are sorted, and the current flow rate data, the sorting idle value and the first flow rate set of the target hub are updated; that is, when it is detected that the flow rate is less than or equal to the sorting idle value, sorting is performed based on the current sorting equipment until the flow rates in the first flow rate set are allocated to the corresponding sorting equipment, and the number of sorting equipment required for sorting the first flow rate set is obtained; when it is detected that the flow rate is less than or equal to the sorting idle value, sorting is performed based on the current sorting equipment and the sorting idle value and the first flow rate set are updated, and the flow rates in the first flow rate set are sorted, and the detection steps are performed on the sorted flow rates in the first flow rate set in turn.

[0100] In the above method for determining the number of sorting devices required for the direct sorting mode, the flow rates of each direction in the first flow direction flow set are sorted by obtaining the sorting idle value and the initial value of the sorting device of the target hub, and the flow rates of each direction in the sorted first flow direction flow set are detected in turn. When it is detected that the flow rate is greater than the sorting idle value, the initial value and the sorting idle value of the sorting device are updated until the flow rates of each direction in the first flow direction flow set are allocated to the corresponding sorting device, and the number of sorting devices required for sorting the first flow direction flow set is obtained, that is, whether the sorting idle value of the target hub meets the demand for the current flow rate, the number of sorting devices for sorting the first flow direction flow is updated, and the number of sorting devices for the direct sorting mode is determined, thereby reducing the demand for sorting equipment and improving the utilization rate of sorting equipment.

[0101] In one embodiment, Figure 6 As shown, a method for determining the number of sorting equipment required for pre-sorting is provided, and the method is applied to Figure 1 The following steps are used as an example to illustrate the terminal in the figure:

[0102] Step 602: Obtain the sorting capability value of the sorting equipment.

[0103] Among them, the sorting capacity value includes the number of sorting slots of the sorting equipment and the maximum sorting value per hour.

[0104] Step 604: Determine the number of pre-sorting devices according to the sorting capacity value and the flow direction piece quantity value of the second flow direction flow set.

[0105] Specifically, the sorting capacity value of each sorting machine includes the maximum number of compartments (L0) and the maximum sorting volume Q0. The flow volume value of the second flow flow set is L m , Q m , L m is the flow quantity, Q m is the flow quantity, and the number of pre-separation equipment is Q m / Q0, that is, the objects of the second flow set are preliminarily merged through the determined pre-division equipment.

[0106] Step 606: sort the corresponding flow direction flows by pre-sorting and sorting equipment to determine a third flow direction flow set.

[0107] Step 608 : sorting the flow rates of each direction in the third flow rate set, and detecting the sorted flow rates of each direction in the third flow rate set in turn.

[0108] Step 610: When it is detected that the flow rate is greater than the sorting idle value, the sorting device initial value and the sorting idle value are updated until the flow rates of each direction in the third flow set are allocated to the corresponding sorting device, thereby obtaining the number of sorting devices required for sorting the second flow set.

[0109] In the method for determining the number of sorting devices required for the above-mentioned pre-sorting method, the number of pre-sorting and sorting devices is determined based on the sorting capacity value of each sorting device and the flow quantity value of the second flow direction flow set. The pre-sorting and sorting devices are used to preliminarily merge small-piece objects, reduce the flow direction of the objects, and obtain the flow quantity of large-piece objects. The flow quantities of each direction in the third flow direction flow set of large-piece objects are sorted, and the flow quantities of each direction in the sorted third flow direction flow set are tested in sequence. When it is detected that the flow quantity is greater than the sorting idle value, the initial value and the sorting idle value of the sorting device are updated until the flow quantities of each direction in the third flow direction flow set are allocated to the corresponding sorting device. In this way, the number of sorting devices required for sorting the second flow direction flow set is obtained, thereby reducing the demand for sorting devices and improving the utilization rate of sorting devices.

[0110] In another embodiment, Figure 7 As shown, a method for sorting hub objects is provided, which is applied to Figure 1 The following steps are used as an example to illustrate the terminal in the figure:

[0111] Step 702 : Obtain the number of flow directions of objects passing through the target hub during the peak period and the flow quantity of objects corresponding to each flow direction.

[0112] Step 704: Determine whether to adopt a mixed sorting method based on the flow direction quantity and the flow direction quantity threshold.

[0113] Step 706: If yes, sort the flow direction quantities of each flow direction in descending order to obtain flow direction flow distribution data.

[0114] Optionally, when the flow quantity is less than the flow quantity threshold, that is, the sorting capacity value of the sorting equipment in the target hub can meet the objects of the flow flow, the objects of the flow flow are sorted by the existing sorting equipment in the current hub.

[0115] Step 708: Determine the direction cumulative value and the direction item quantity cumulative value based on the direction flow rate distribution data and the total direction item quantity.

[0116] Step 710: According to the preset sorting strategy data, based on the cumulative flow value and the cumulative flow quantity, the flow flow that reaches the preset proportion of the total flow quantity is used as the first flow flow set using the direct sorting method, and the number of sorting equipment required to sort the first flow flow set is determined.

[0117] Step 712: The flow rate that does not reach the preset proportion value is used as the second flow rate in the pre-sorting manner, and the number of sorting devices required to sort the second flow rate set is determined.

[0118] Specifically, based on the flow flow distribution data and the total flow quantity, the flow cumulative value and the flow quantity cumulative value are determined; according to the preset sorting strategy data, based on the flow cumulative value and the flow quantity cumulative value, the flow flow that reaches the preset proportion of the total flow quantity is used as the first flow flow set using the direct sorting method, and the flow flow that does not reach the preset proportion is used as the second flow flow using the pre-sorting method.

[0119] According to the sorting idle value and the initial value of the sorting equipment of the target hub, the flow rates of each direction in the first flow rate set are sorted, and the flow rates of each direction in the sorted first flow rate set are detected in turn; when it is detected that the flow rate is greater than the sorting idle value, the initial value and the sorting idle value of the sorting equipment are updated until the flow rates of each direction in the first flow rate set are allocated to the corresponding sorting equipment, and the number of sorting equipment required for sorting the first flow rate set is obtained; according to the sorting capacity value of the sorting equipment obtained; the number of pre-sorting sorting equipment is determined according to the sorting capacity value and the flow piece value of the second flow rate set; the corresponding flow rates are sorted by the pre-sorting sorting equipment to determine the third flow rate set, and the steps of obtaining the sorting idle value and the initial value of the sorting equipment of the target hub are executed to determine the number of sorting equipment required for sorting the second flow rate set.

[0120] Optionally, in one embodiment, the timeliness type of objects passing through the target hub during peak hours is obtained; non-urgent objects with non-urgent timeliness are determined from the objects based on the timeliness type; the flow quantity of non-urgent objects is less than the flow quantity threshold; the non-urgent objects are gathered during non-peak hours and sorted using idle sorting equipment. That is, sorting objects based on their timeliness type can alleviate the logistics sorting pressure during peak hours and improve equipment utilization. For example, Figure 8 As shown in the figure, according to the flight departure time distribution, the idle slots of the sorting equipment start to be sorted at 03:30, and by 04:00, the number of idle slots can reach 33% of the number of subdivided slots. These idle slots are used to sort non-urgent items during non-peak hours.

[0121] The following is an embodiment, Figure 9As shown, an example of sorting objects with 1000 flow directions and 2000 kkph is used in a pre-sorting manner and two mixed sorting manners. In the pre-sorting manner, the number of pre-sorting devices is determined to be 5, the number of final sorting devices is determined to be 5, and the total number of sorting devices required is 10; in the mixed sorting manner, 91% of the flow directions and 60% of the flow quantity are sorted in the pre-sorting manner, and the number of pre-sorting devices is determined to be 3, the number of final sorting devices is determined to be 3, and the number of final sorting devices is determined to be 2, and the total number of sorting devices required is 8; in the mixed sorting manner, 66% of the flow directions and 20% of the flow quantity are sorted in the pre-sorting manner, and the number of pre-sorting devices is determined to be 13, the number of final sorting devices is determined to be 2, and the total number of sorting devices required is 7.

[0122] In the above-mentioned hub object sorting method, the mixed sorting method is determined according to the flow quantity and flow quantity threshold of the objects passing through the target hub during the peak period. According to the preset sorting strategy data, based on the flow cumulative value and the flow piece quantity cumulative value, the flow flow that reaches the preset proportion of the total flow piece quantity is used as the first flow flow set using the direct sorting method, and the number of sorting equipment required for sorting the first flow flow set is determined; the flow flow that does not reach the preset proportion is used as the second flow flow using the pre-sorting method, and the number of sorting equipment required for sorting the second flow flow set is determined. That is, the sorting mode of objects with different flows during the peak period and the sorting equipment required for sorting are determined, thereby reducing the demand for sorting equipment and improving the utilization rate of the equipment.

[0123] It should be understood that although Figure 2 、 Figure 4-7 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 2 、 Figure 4-7 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0124] In one embodiment, Figure 10 As shown, a hub object sorting device is provided, comprising: an acquisition module 1002, a determination module 1004, a sorting module 1006 and a sorting module 1008, wherein:

[0125] Acquisition module 1002 is used to obtain the number of flows passing through the target hub during the peak period and the flow quantity of each flow direction; the peak period is the time period when the number of flow directions of objects is greater than or equal to the flow quantity threshold and the flow quantity is greater than or equal to the flow quantity threshold.

[0126] The determination module 1004 is used to determine whether to adopt a mixed sorting method according to the flow direction quantity and the flow direction quantity threshold.

[0127] The sorting module 1006 is configured to sort the flow quantities of each flow direction in descending order if yes, to obtain flow distribution data of the flow direction.

[0128] The sorting module 1008 is used to determine the flow rate and the required number of equipment for the direct sorting method in the mixed sorting method, and to determine the flow rate and the required number of sorting equipment for the pre-sorting method in the mixed sorting method based on the flow rate distribution data and the total flow rate volume.

[0129] In the above-mentioned hub object sorting method, whether a mixed sorting method needs to be adopted is determined based on the number of flows passing through the target hub during the peak period and the flow number threshold; when it is determined to adopt the mixed sorting method, the flow quantity of each flow direction is sorted in a sorting manner to obtain the flow flow distribution data; based on the flow flow distribution data and the total flow quantity during the peak period, the specific sorting mode adopted by the mixed sorting method and the number of sorting equipment required for sorting the flow flow corresponding to each sorting mode can be determined, which solves the problem of only being able to use a single sorting mode to sort objects during the peak period according to the flow direction of the objects or the flow quantity of each flow direction, and improves the sorting efficiency of the sorting equipment by determining a reasonable number of sorting equipment.

[0130] In another embodiment, a hub object sorting device is provided, which includes, in addition to an acquisition module 1002, a determination module 1004, a sorting module 1006, and a sorting module 1008, an update module and a simulation module, wherein:

[0131] The determination module 1004 is further configured to determine a cumulative flow value and a cumulative flow quantity value based on the flow flow distribution data and the total flow quantity; and according to the preset sorting strategy data, based on the cumulative flow value and the cumulative flow quantity value, use the flow flow that reaches a preset percentage of the total flow quantity as a first flow flow set for direct sorting, and determine the number of sorting devices required to sort the first flow flow set.

[0132] The determining module 1004 is further configured to use the flow rate that does not reach the preset proportion as the second flow rate in the pre-sorting manner, and determine the number of sorting devices required to sort the second flow rate set.

[0133] The acquisition module 1002 is further configured to acquire the sorting idle value and the initial value of the sorting equipment of the target hub.

[0134] The sorting module 1006 is further configured to sort the flow rates of each direction in the first flow rate set, and detect the sorted flow rates of each direction in the first flow rate set in sequence.

[0135] The updating module is used to update the sorting device initial value and the sorting idle value when it is detected that the flow rate is greater than the sorting idle value, until the flow rates of each direction in the first flow rate set are allocated to the corresponding sorting device, thereby obtaining the number of sorting devices required for sorting the first flow rate set.

[0136] The acquisition module 1002 is further configured to acquire the sorting capability value of the sorting equipment.

[0137] The determination module 1004 is further configured to determine the number of pre-sorting and sorting devices according to the sorting capacity value and the flow direction piece quantity value of the second flow direction flow set.

[0138] The sorting module 1008 is further configured to sort the corresponding flow direction traffic through pre-sorting and sorting equipment, determine a third flow direction traffic set, execute the steps of obtaining the sorting idle value and the initial value of the sorting equipment of the target hub, and determine the number of sorting equipment required to sort the second flow direction traffic set.

[0139] The update module is also used to, when it is detected that the flow rate is less than or equal to the sorting idle value, perform sorting based on the current sorting device and update the sorting idle value and the first flow rate set, execute sorting of each flow rate in the first flow rate set, and perform detection steps on each flow rate in the sorted first flow rate set in turn.

[0140] The determination module 1004 determines the growth coefficient of the flow rate according to the daily flow volume of each flow direction.

[0141] The determination module 1004 determines the target hub for sorting the items based on the cost / time efficiency of transit / direct flights through different hubs for different flows.

[0142] The determination module 1004 is further configured to determine preset sorting strategy data based on the growth coefficient and the target hub.

[0143] The simulation module is used to simulate sorting of objects in each flow direction according to the preset sorting strategy data and simulation parameters at the preset time granularity to obtain the sorting efficiency value and flow quantity threshold of the sorting equipment;

[0144] The determination module 1004 is further configured to determine sorting strategy data according to the sorting efficiency value and the flow quantity threshold.

[0145] The acquisition module 1002 is further configured to acquire the timeliness type of objects passing through the target hub during the peak period.

[0146] The determination module 1004 is further configured to determine non-urgent objects with non-urgent time limits from the objects according to the time limit type; the flow direction quantity of the non-urgent objects is less than a flow direction quantity threshold.

[0147] The sorting module 1008 is also used to gather non-urgent items into non-peak hours and sort them using idle sorting equipment.

[0148] In one embodiment, the mixed sorting method is determined to be used for sorting objects during peak periods based on the flow quantity and the flow quantity threshold of the objects passing through the target hub. According to the preset sorting strategy data, based on the flow cumulative value and the flow piece quantity cumulative value, the flow rate that reaches the preset proportion of the total flow piece quantity is used as the first flow rate set using the direct sorting method, and the number of sorting equipment required for sorting the first flow rate set is determined; the flow rate that does not reach the preset proportion is used as the second flow rate using the pre-sorting method, and the number of sorting equipment required for sorting the second flow rate set is determined. That is, the sorting mode of objects with different flow directions during peak periods and the sorting equipment required for sorting are determined, thereby reducing the demand for sorting equipment and improving equipment utilization.

[0149] The specific limitations of the hub object sorting device can be found in the limitations of the hub object sorting method described above and will not be further elaborated here. Each module in the hub object sorting device described above may be implemented in whole or in part through software, hardware, or a combination thereof. Each of the modules described above may be embedded in or independent of a processor in a computer device in hardware form, or may be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0150] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 11. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a hub object sorting method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0151] Those skilled in the art will understand that Figure 11 The structure shown is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0152] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0153] Obtain the number of flow directions of objects passing through the target hub during the peak period and the corresponding flow quantity of each flow direction; the peak period is the time period when the number of flow directions of objects is greater than or equal to the flow quantity threshold and the flow quantity of each flow direction is greater than or equal to the flow quantity threshold;

[0154] Determine whether to adopt mixed sorting mode based on the flow quantity and flow quantity threshold;

[0155] If so, the flow quantity of each flow direction is sorted in descending order to obtain the flow distribution data;

[0156] Based on the flow rate distribution data and the total flow rate volume, determine the flow rate set and the required number of sorting equipment for the mixed sorting method using the direct sorting method, and determine the flow rate set and the required number of sorting equipment for the mixed sorting method using the pre-sorting method.

[0157] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0158] Determine the direction cumulative value and direction piece quantity cumulative value based on the direction flow distribution data and the total direction piece quantity;

[0159] According to the preset sorting strategy data, based on the accumulated flow direction value and the accumulated flow direction piece quantity, the flow direction flow that reaches the preset proportion of the total flow direction piece quantity is used as the first flow direction flow set using the direct sorting method, and the number of sorting equipment required to sort the first flow direction flow set is determined;

[0160] The flow rate that does not reach the preset proportion value is used as the second flow rate using the pre-sorting method, and the number of sorting devices required to sort the second flow rate set is determined.

[0161] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0162] Get the sorting idle value and sorting equipment initial value of the target hub;

[0163] Sorting the flow rates of each direction in the first flow rate set, and sequentially detecting the flow rates of each direction in the sorted first flow rate set;

[0164] When it is detected that the flow rate is greater than the sorting idle value, the sorting device initial value and the sorting idle value are updated until the flow rates of each direction in the first flow rate set are allocated to the corresponding sorting device, and the number of sorting devices required for sorting the first flow rate set is obtained.

[0165] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0166] Get the sorting capacity value of the sorting equipment;

[0167] Determine the number of pre-sorting equipment according to the sorting capacity value and the flow direction piece quantity value of the second flow direction flow set;

[0168] The corresponding flow direction flow is sorted by the pre-sorting sorting equipment to determine the third flow direction flow set, and the steps of obtaining the sorting idle value and the initial value of the sorting equipment of the target hub are executed to determine the number of sorting equipment required for sorting the second flow direction flow set.

[0169] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0170] When it is detected that the flow rate is less than or equal to the sorting idle value, sorting is performed based on the current sorting device and the sorting idle value and the first flow rate set are updated. The flow rates of each direction in the first flow rate set are sorted, and the flow rates of each direction in the sorted first flow rate set are detected in turn.

[0171] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0172] Determine the growth coefficient of flow rate according to the number of flow items in each direction on a daily basis;

[0173] Determine the target hub for sorting items based on the cost / time efficiency of transit / direct flights through different hubs for different flows;

[0174] Determine preset sorting strategy data based on growth coefficient and target hub;

[0175] According to the preset sorting strategy data and simulation parameters, simulate sorting of objects in each flow direction according to the preset time granularity to obtain the sorting efficiency value and flow quantity threshold of the sorting equipment;

[0176] The sorting strategy data is determined based on the sorting efficiency value and the flow quantity threshold.

[0177] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0178] Get the timeliness type of objects passing through the target hub during peak hours;

[0179] Determine non-urgent objects with non-urgent aging time from the objects according to the aging type; the flow quantity of the non-urgent objects is less than the flow quantity threshold;

[0180] Gather non-urgent items during off-peak hours and sort them using idle sorting equipment.

[0181] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0182] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0183] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0184] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A hub object sorting method, characterized in that: The method comprises: Obtain the number of flow directions of objects passing through the target hub during the peak period and the flow quantity of each flow direction; the peak period is a time period when the number of flow directions of objects is greater than or equal to a flow quantity threshold and the flow quantity of each flow direction is greater than or equal to a flow quantity threshold; Determining whether to adopt a mixed sorting method according to the flow direction quantity and the flow direction quantity threshold; If so, the flow quantity of each flow direction is sorted in descending order to obtain the flow distribution data; Determining a flow direction cumulative value and a flow direction cumulative value according to the flow direction flow distribution data and the total flow direction piece quantity; According to the preset sorting strategy data, based on the accumulated flow direction value and the accumulated flow direction piece quantity, the flow direction flow that reaches a preset percentage of the total flow direction piece quantity is used as a first flow direction flow set using a direct sorting method, and the remaining flow direction flow is used as a second flow direction flow set using a pre-sorting method; the direct sorting method is a sorting method in which there are not many flow directions of objects and a large number of flow pieces in each flow direction; the pre-sorting method is a sorting method in which there are many flow directions of objects and a small number of flow pieces in each flow direction; For the first directional flow set, the directional flow rates after sorting in the first directional flow set are detected and sorting equipment is allocated. If the sorted directional flow rates are greater than the sorting idle value corresponding to the target hub, the initial value of the sorting equipment and the sorting idle value are updated until all directional flows in the first directional flow set are allocated to corresponding sorting equipment, thereby obtaining the number of sorting equipment required to sort the first directional flow set. For the second directional flow set, the number of pre-sorting devices is determined based on the sorting capacity value of the sorting device and the flow piece quantity value of the second directional flow set; the corresponding directional flows are sorted by the pre-sorting device to determine a third directional flow set; the directional flows after sorting in the third directional flow set are detected and sorting devices are allocated; if the sorted directional flows are greater than the sorting idle value corresponding to the target hub, the initial value of the sorting device and the sorting idle value are updated until each directional flow in the third directional flow set is allocated to the corresponding sorting device, thereby obtaining the number of sorting devices required for sorting the second directional flow set.

2. The method according to claim 1, characterized in that The detecting the flow rate after the first flow rate is centrally sorted includes: Obtaining the sorting idle value and sorting equipment initial value of the target hub; The flow rates of each direction in the first flow rate set are sorted, and the flow rates of each direction in the sorted first flow rate set are detected in turn.

3. The method according to claim 2, characterized in that The method further comprises: When it is detected that the flow rate is less than or equal to the sorting idle value, sorting is performed based on the current sorting device, and the sorting idle value and the first flow rate set are updated. Then, the steps of sorting the flow rates of each direction in the first flow rate set are performed, and the steps of detecting each flow rate in the sorted first flow rate set are performed in sequence.

4. The method according to claim 1, wherein Determination of the sorting strategy data includes: Determine the growth coefficient of flow rate according to the daily flow volume of each flow direction; Determine the target hub for sorting items based on the cost / time efficiency of transit / direct flights through different hubs for different flows; Determining preset sorting strategy data based on the growth coefficient and the target hub; According to the preset sorting strategy data and simulation parameters, simulate sorting of objects in each flow direction according to the preset time granularity to obtain the sorting efficiency value and flow quantity threshold of the sorting equipment; Sorting strategy data is determined according to the sorting efficiency value and the flow direction quantity threshold.

5. The method according to claim 1, wherein The method further comprises: Obtaining the timeliness type of objects passing through the target hub during the peak period; Determining non-urgent objects with non-urgent time limits from the objects according to the time limit type; the flow direction quantity of the non-urgent objects is less than the flow direction quantity threshold; The non-urgent items are gathered during off-peak hours and sorted using idle sorting equipment.

6. A hub object sorting device, characterized in that: The device comprises: an acquisition module, configured to acquire the number of flows passing through the target hub during a peak period and the number of flow items corresponding to each flow direction; the peak period being a time period when the number of flow items in a direction is greater than or equal to a flow number threshold and the number of flow items in a direction is greater than or equal to a flow item threshold; a determination module, configured to determine whether to adopt a mixed sorting mode according to the flow direction quantity and the flow direction quantity threshold; A sorting module is used to sort the flow quantity of each flow direction in descending order to obtain flow distribution data; The sorting module is used to determine the flow cumulative value and the flow piece quantity cumulative value according to the flow flow distribution data and the total flow piece quantity; according to the preset sorting strategy data, based on the flow cumulative value and the flow piece quantity cumulative value, the flow flow that reaches the preset proportion of the total flow piece quantity is used as the first flow flow set using the direct sorting method, and the remaining flow flow is used as the second flow flow set using the pre-sorting method; the direct sorting method is a sorting method in which the flow directions of objects are not many and the number of flow pieces in each direction is large; the pre-sorting method is a sorting method in which the flow directions of objects are many and the number of flow pieces in each direction is small; for the first flow flow set, the flow flow after sorting in the first flow flow set is detected and sorting equipment is allocated. If the sorted flow flow is greater than the sorting idle value corresponding to the target hub, the sorting equipment is updated. Prepare initial value and the said sorting idle value until each flow in the first flow set is allocated to the corresponding sorting device, and obtain the number of sorting devices required for sorting the first flow set; for the second flow set, determine the number of pre-sorting devices according to the sorting capacity value of the sorting device and the flow piece value of the second flow set; sort the corresponding flow by the pre-sorting device to determine the third flow set; detect the flow after sorting in the third flow set and allocate a sorting device, if the sorted flow is greater than the sorting idle value corresponding to the target hub, update the initial value of the sorting device and the said sorting idle value until each flow in the third flow set is allocated to the corresponding sorting device, and obtain the number of sorting devices required for sorting the second flow set.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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