Express sorting method and device, equipment and medium

Abstract

The embodiment of the invention provides an express sorting method and device, electronic equipment and a storage medium, and belongs to the technical field of intelligent decision artificial intelligence and financial science and technology. The method comprises the steps of obtaining a one-way and two-way express item association relationship between two-side flow items and one-side flow items on an express sorting machine, and performing variable declaration processing on the proportion of a first number in the total number of express items according to the one-way and two-way express item association relationship, obtaining bilateral flow component data and unilateral flow component data; according to the bilateral flow express item data and the unilateral flow express item data, grid-falling express item data of the express item sorting machine within a preset duration is obtained; according to the data of the express parcels falling into the grids, express parcel sorting capacity data of the express parcel sorting machine within the preset duration are obtained; and obtaining target sorting plan data according to the express sorting capacity data. According to the embodiment of the invention, the sorting capacity during express sorting can be improved.

Description

Technical Field

[0001] This application relates to the technical fields of artificial intelligence and fintech, and particularly relates to a method and device for express sorting, an electronic device, and a storage medium. Background Art

[0002] Currently, a sorting plan is manually formulated for express sorting. Since in the actual scenario, express sorters are not aware of the relationship between production capacity and the proportion of different types of express items, they can only formulate the sorting plan based on express sorting experience. As a result, the manually formulated sorting plan cannot achieve the maximum sorting production capacity. The currently common production capacity calculation formula can only calculate the sorting production capacity under specific environments. For example, in an environment where all express items have bilateral flows, it cannot be applied to the vast majority of express sorting environments. Therefore, how to improve the express sorting production capacity in different environments has become an urgent technical problem to be solved. Summary of the Invention

[0003] The main purpose of the embodiments of this application is to propose a method and device for express sorting, an electronic device, and a storage medium, aiming to improve the sorting production capacity during express sorting.

[0004] To achieve the above objective, in the first aspect of the embodiments of this application, a method for express sorting is proposed. The method includes:

[0005] Obtain the correlation relationship between the bilaterally flowing items and the unidirectionally flowing items on the express sorting machine to obtain the single-to-double-way express item correlation relationship. Among them, the express sorting machine transports a first quantity of the bilaterally flowing items and a second quantity of the unidirectionally flowing items on a preset transmission track. The single-to-double-way express item correlation relationship refers to the relationship between the first quantity and the total quantity of express items, and the relationship between the second quantity and the total quantity of express items. The total quantity of express items is the sum of the first quantity and the second quantity;

[0006] Perform variable declaration processing on the proportion of the first quantity in the total quantity of express items to obtain bilaterally flowing item data;

[0007] According to the single-to-double-way express item correlation relationship and the bilaterally flowing item data, perform variable declaration processing on the proportion of the second quantity in the total quantity of express items to obtain unidirectionally flowing item data;

[0008] According to the bilaterally flowing item data and the unidirectionally flowing item data, obtain the grid-drop express data of the express sorting machine within a preset time period. The preset time period is the time for any express item to go around the express sorting machine on the preset transmission track;

[0009] According to the grid-drop express data, obtain the express sorting production capacity data of the express sorting machine within the preset time period;

[0010] Generate a sorting plan for the express sorting machine based on the express sorting production capacity data to obtain target sorting plan data, where the target sorting plan data is used to guide express sorting employees to sort express deliveries.

[0011] In some embodiments, before obtaining the dropped-off express data of the express sorting machine within a preset duration according to the bilateral flow piece data and the unilateral flow piece data, the method further includes:

[0012] Obtain the running speed, body length, and total number of trolleys of the transport trolleys on the express sorting machine, where the transport trolleys are used to transport the bilateral flow pieces and the unilateral flow pieces;

[0013] Calculate the time for the transport trolley to go around the express sorting machine once on the preset transport track according to the running speed, the body length, and the total number of trolleys to obtain the preset duration.

[0014] In some embodiments, obtaining the dropped-off express data of the express sorting machine within a preset duration according to the bilateral flow piece data and the unilateral flow piece data includes:

[0015] Obtain the bilateral dropping probability of the bilateral flow pieces and the unilateral dropping probability of the unilateral flow pieces, where the bilateral dropping probability refers to the probability that half of the bilateral flow pieces drop off on the express sorting machine within half of the preset duration, and the unilateral dropping probability refers to the probability that half of the unilateral flow pieces drop off on the express sorting machine within half of the preset duration;

[0016] Obtain the bilateral flow piece dropped-off data of the express sorting machine within the preset duration according to the bilateral dropping probability, the unilateral dropping probability, and the bilateral flow piece data;

[0017] Obtain the unilateral flow piece dropped-off data of the express sorting machine within the preset duration according to the bilateral dropping probability, the unilateral dropping probability, and the unilateral flow piece data;

[0018] Merge the bilateral flow piece dropped-off data and the unilateral flow piece dropped-off data to obtain the dropped-off express data.

[0019] In some embodiments, obtaining the bilateral flow piece dropped-off data of the express sorting machine within a preset duration according to the bilateral dropping probability, the unilateral dropping probability, and the bilateral flow piece data includes:

[0020] Divide the preset duration into two target time intervals with the same time length, obtaining a first target time interval and a second target time interval, where the first target time interval is the first half of the preset duration, and the second target time interval is the second half of the preset duration;

[0021] Calculate the first drop data of the bilateral flow items within the first target time interval according to the bilateral flow item data and the bilateral drop probability;

[0022] Obtain the quantity of the remaining items of the bilateral flow items and the quantity of the supplementary items that the express sorting machine needs to supplement within the second target time interval according to the first drop data, where the remaining items refer to the bilateral flow items that have not dropped within the first target time interval;

[0023] Calculate the second drop data of the supplementary items and the third drop data of the remaining items within the second target time interval according to the bilateral drop probability and the unilateral drop probability;

[0024] Calculate the bilateral flow item drop data within the preset duration according to the first drop data, the second drop data, and the third drop expression data.

[0025] In some embodiments, the generating a sorting plan for the express sorting machine according to the express sorting capacity data to obtain target sorting plan data includes:

[0026] Draw a relationship curve between the bilateral flow item data and the total capacity of the express sorting machine according to the express sorting capacity data;

[0027] Obtain the true bilateral ratio of the bilateral flow items on the express sorting machine;

[0028] Formulate an express sorting plan for the express sorting machine according to the relationship curve and the true bilateral ratio.

[0029] In some embodiments, after obtaining the express sorting capacity data of the express sorting machine according to the dropped express data, the method further includes:

[0030] Obtain the configuration data of the express sorting machine, where the configuration data includes mechanism model data and data model data, the mechanism model data is data such as the size, material, and color of the device, and the data model data is the data distribution of the device indicators;

[0031] Construct a virtual simulation model of the express sorting machine using digital twin technology according to the configuration data;

[0032] Verify the express sorting production capacity data using the virtual simulation model to obtain a verification result.

[0033] In some embodiments, the step of verifying the express sorting production capacity data using the virtual simulation model to obtain a verification result includes:

[0034] Obtain the test values of the express sorting machine, where the test values include bilateral flow piece data and unilateral flow piece data;

[0035] Calculate the predicted total production capacity of the express sorting machine according to the express sorting production capacity data and the test values;

[0036] Input the test values into the virtual simulation model to obtain the simulated total production capacity of the express sorting machine;

[0037] Compare the simulated total production capacity with the predicted total production capacity to obtain the verification result.

[0038] To achieve the above object, a second aspect of the embodiments of the present application proposes an express sorting device, the device includes:

[0039] An express piece relationship acquisition module, configured to acquire the association relationship between bilateral flow pieces and unilateral flow pieces on the express sorting machine to obtain a single - and - double - way express piece association relationship. Among them, the express sorting machine transports the first quantity of the bilateral flow pieces and the second quantity of the unilateral flow pieces on a preset transmission track. The single - and - double - way express piece association relationship refers to the relationship between the first quantity and the total quantity of express pieces, and the relationship between the second quantity and the total quantity of express pieces. The total quantity of express pieces is the sum of the first quantity and the second quantity;

[0040] An express piece quantity assignment module, configured to perform variable declaration processing on the proportion of the first quantity in the total quantity of express pieces to obtain bilateral flow piece data. According to the single - and - double - way express piece association relationship and the bilateral flow piece data, perform variable declaration processing on the proportion of the second quantity in the total quantity of express pieces to obtain unilateral flow piece data;

[0041] A sorting production capacity data acquisition module, configured to obtain the grid - falling express data of the express sorting machine within a preset time period according to the bilateral flow piece data and the unilateral flow piece data. The preset time period is the time for any express piece to go around the express sorting machine on the preset transmission track. According to the grid - falling express data, obtain the express sorting production capacity data of the express sorting machine within the preset time period;

[0042] The express sorting plan formulation module is used to generate a sorting plan for the express sorting machine based on the express sorting production capacity data, so as to obtain target sorting plan data, where the target sorting plan data is used to guide express sorting employees to perform express sorting.

[0043] To achieve the above object, a third aspect of the embodiments of the present application proposes an electronic device, which includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the method described in the first aspect above is implemented.

[0044] To achieve the above object, a fourth aspect of the embodiments of the present application proposes a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect above is implemented.

[0045] The express sorting method, device, electronic device, and storage medium proposed in the present application obtain the proportion data of two-way flow items in the total number of express items, obtain two-way flow item data, and gradually obtain the potential relationship between the two-way flow item data and the express sorting production capacity data, determine the impact of the two-way flow item data on the total production capacity of express sorting, and then improve the total production capacity of express sorting by adjusting the proportion of two-way flow items in the total number of express items during the actual express sorting process. Description of the Drawings

[0046] Figure 1 is a flowchart of the express sorting method provided by the embodiments of the present application;

[0047] Figure 2 is Figure 1 a flowchart of step S102 in

[0048] Figure 3 is Figure 1 a flowchart of step S105 in

[0049] Figure 4 is Figure 3 a flowchart of step S302 in

[0050] Figure 5 is Figure 3 a flowchart of step S304 in

[0051] Figure 6 is Figure 5 a flowchart of step S502 in

[0052] Figure 7 is Figure 1 a flowchart of step S106 in

[0053] Figure 8It is a schematic structural diagram of the express sorting device provided by the embodiment of the present application;

[0054] Figure 9 It is a schematic hardware structure diagram of the electronic device provided by the embodiment of the present application. Detailed implementation manners

[0055] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0056] It should be noted that although functional module division is performed in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different module division in the device or a different order in the flowchart. Terms such as "first" and "second" in the description, claims and the above drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0058] First, several terms involved in the present application are analyzed:

[0059] Artificial intelligence (AI): It is a new technical science that studies, develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence; artificial intelligence is a branch of computer science. Artificial intelligence attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robots, speech recognition, image recognition, natural language processing and expert systems, etc. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence also uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results of theories, methods, technologies and application systems.

[0060] At present, express sorting is carried out by manually formulating sorting plans. In actual scenarios, express sorting personnel are not clear about the relationship between production capacity and the proportion of express types, and can only formulate sorting plans based on express sorting experience, which makes it impossible for manually formulated sorting plans to achieve the maximum sorting capacity. The current common capacity calculation formula is based on the premise that the flow directions of express items in the sorting plan are all bilaterally symmetrical, and does not take into account the actual situation of the actual site and the grid equipment. For example, the number of express sorting equipment is less than twice the number of flow directions. Therefore, the current common capacity calculation formula needs to be used in a specific environment to calculate the sorting capacity, and cannot be applied to most express sorting environments. Therefore, how to improve the capacity of express sorting in different environments has become a technical problem that needs to be solved urgently.

[0061] Based on this, the embodiments of the present application provide an express sorting method and device, an electronic device and a storage medium, aiming to improve the sorting capacity during express sorting.

[0062] The recommendation method and device, electronic device and storage medium provided in the embodiments of the present application are specifically described through the following embodiments. First, the recommendation method in the embodiments of the present application is described.

[0063] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0064] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0065] The express sorting method provided by the embodiments of this application relates to the field of intelligent decision-making technology. The express sorting method provided by the embodiments of this application can be applied to a terminal, or to a server side, or can be software running on a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, or can also be configured as a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the express sorting method, etc., but is not limited to the above forms.

[0066] This application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and so on. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This application can also be practiced in a distributed computing environment, where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0067] Figure 1 is an optional flowchart of the express sorting method provided by the embodiments of this application, Figure 1 The method in may include but is not limited to steps S101 to S106.

[0068] Step S101, obtain the association relationship between the two-way flow items and the one-way flow items on the express sorting machine to obtain the single-and-two-way express item association relationship. Among them, the express sorting machine transports the first quantity of two-way flow items and the second quantity of one-way flow items on a preset transmission track. The single-and-two-way express item association relationship refers to the relationship between the first quantity and the total quantity of express items, and the relationship between the second quantity and the total quantity of express items. The total quantity of express items is the sum of the first quantity and the second quantity;

[0069] Step S102, perform variable declaration processing on the proportion of the first quantity in the total quantity of express items to obtain two-way flow item data;

[0070] Step S103: Perform variable declaration processing on the proportion of the second quantity in the total number of express items according to the single - and double - way express item association relationship and the bilateral flow item data to obtain the single - way flow item data;

[0071] Step S104: Obtain the grid - dropping express data of the express sorting machine within a preset time period according to the bilateral flow item data and the single - way flow item data, where the preset time period is the time for any express item to go around the express sorting machine on the preset transmission track;

[0072] Step S105: Obtain the express sorting production capacity data of the express sorting machine within the preset time period according to the grid - dropping express data;

[0073] Step S106: Generate a sorting plan for the express sorting machine according to the express sorting production capacity data to obtain the target sorting plan data, where the target sorting plan data is used to guide the express sorting staff to perform express sorting.

[0074] Steps S101 to S106 shown in the embodiments of the present application, by finding the first quantity of the bilateral flow items on the express sorting machine and the second quantity of the single - way flow items on the express sorting machine, and then establishing the single - and double - way express item association relationship between the first quantity, the second quantity and the total number of express items on the express sorting machine. Further, according to the single - and double - way express item association relationship, perform variable declaration on the proportion of the first quantity in the total quantity to obtain the bilateral flow item data, perform variable declaration on the proportion of the second quantity in the total quantity to obtain the single - way flow item data. Secondly, according to the bilateral flow item data, calculate the number of grid - dropped bilateral flow items within the time when the sorting trolley on the express sorting machine goes around the express sorting machine once to obtain the number of grid - dropped bilateral flow items. Then, according to the single - way flow item data, calculate the number of grid - dropped single - way flow items within the time when the sorting trolley on the express sorting machine goes around the express sorting machine once to obtain the number of grid - dropped single - way flow items. Integrate the grid - dropping data of the bilateral flow items and the number of grid - dropped single - way flow items to obtain the express sorting production capacity data of the express sorting machine within the time when the sorting trolley goes around the express sorting machine once. Finally, according to the express sorting production capacity data and the actual situation of the express sorting machine, formulate an express sorting plan for guiding the express sorting staff to perform express sorting, which improves the sorting production capacity during express sorting.

[0075] In step S104 of some embodiments, it is possible to calculate the grid - dropping express data of the express sorting machine within the preset time period. It is also possible to calculate the grid - dropping express data within other set time periods, and it is not limited to this.

[0076] In an application scenario, taking the sorting of small express packages as an example, by finding the relationship between the number of double-sided flow items and single-sided flow items on the express sorting machine and the total number of express packages, it is confirmed that the number of double-sided flow items and the number of single-sided flow items are complementary in the total number of express packages. According to the complementary relationship, a variable declaration is made for the number of double-sided flow items, and the double-sided flow item data t representing the proportion of the number of double-sided flow items in the total number of express packages is obtained. The single-sided flow item data 1 - t representing the proportion of the number of single-sided flow items in the total number of express packages is obtained. Further, when the express sorting machine performs grid dropping processing on the express packages according to the double-sided flow item data t and the single-sided flow item data 1 - t of the express packages, grid dropped express data containing the double-sided flow item data t is obtained. According to the grid dropped express data, the express sorting production capacity data of the express sorting machine is obtained. Among them, the express sorting production capacity data contains the double-sided flow item data t. Therefore, the relationship between the double-sided flow item data t and the express sorting production capacity data of the express sorting machine can be obtained under the condition that other conditions remain unchanged. Finally, according to the obtained relationship between the double-sided flow item data t and the express sorting production capacity data of the express sorting machine and the actual proportion of the number of double-sided flow items in the total number of express packages in the express sorting machine, a target sorting plan that can guide express sorting employees to achieve the maximum express sorting production capacity is formulated.

[0077] In step S101 of some embodiments, the total number of express packages on the express sorting machine is calculated, and the express packages on the express sorting machine are classified according to the pre-set double-sided flow item classification rule and single-sided flow item classification rule to obtain double-sided flow items and single-sided flow items. The first number of double-sided flow items and the second number of single-sided flow items are calculated. Further, the difference between the sum of the first number and the second number and the total number of express packages is calculated, and according to the calculation result, the correlation relationship between the first number and the second number is determined under the condition that the total number of express packages is fixed, and the single-double-sided express package correlation relationship is obtained.

[0078] In steps S102 and S103 of some embodiments, the proportion of the first number in the total number of express packages is set as the unknown t, and a variable declaration process is performed on the unknown t to obtain double-sided flow item data. Further, according to the complementary relationship between the first number and the second number under the condition that the total number of express packages is fixed, the proportion of the second number in the total number of express packages can be set as 1 - t, and a variable declaration process is performed on 1 - t to obtain single-sided flow item data.

[0079] Please refer to Figure 2 , in some embodiments, before step S104, it may further include but is not limited to steps S201 to S202:

[0080] Step S201, obtain the running speed, body length and total number of trolleys of the transport trolleys on the express sorting machine, where the transport trolleys are used to transport double-sided flow items and single-sided flow items;

[0081] Step S202: Calculate the time for the transport trolley to circle around the express sorting machine once on the preset transmission track based on the running speed, the length of the vehicle body, and the total number of trolleys, so as to obtain a preset duration.

[0082] In step S201 of some embodiments, the running speed of the transport trolley on the express sorting machine is measured by a speed measuring instrument, the horizontal length of the transport trolley parallel to the ground is measured to obtain the length of the vehicle body of the transport trolley, and the number of transport trolleys is recorded to obtain the total number of trolleys of the transport trolley.

[0083] In step S202 of some embodiments, multiply the length of the transport trolley by the total number of trolleys of the transport trolley to obtain the length of the preset transmission track of the express sorting machine, and calculate the time length for the transport trolley to circle around the express sorting machine once on the preset transmission track according to the running speed of the transport trolley and the time calculation formula, so as to obtain a preset duration.

[0084] In steps S201 to S202 illustrated in this embodiment, through variable declaration processing on the running speed, the length of the vehicle body, and the total number of trolleys of the transport trolley, the running speed v, the length of the vehicle body d, and the total number of trolleys w of the transport trolley are obtained. Further, according to the running speed v, the length of the vehicle body d, and the total number of trolleys w, the variable expression dw / v of the preset duration is calculated.

[0085] Please refer to Figure 3 , in some embodiments, step S104 may include but is not limited to steps S301 to S304:

[0086] Step S301: Obtain the bilateral dropping probability of the bilateral flow items and the unilateral dropping probability of the unilateral flow items. Herein, the bilateral dropping probability refers to the probability of the bilateral flow items dropping into each grid on the express sorting machine, and the unilateral dropping probability refers to the probability of the unilateral flow items dropping into each grid on the express sorting machine;

[0087] Step S302: Obtain the bilateral flow item dropping data of the express sorting machine within the preset duration according to the bilateral dropping probability, the unilateral dropping probability, and the bilateral flow item data;

[0088] Step S303: Obtain the unilateral flow item dropping data of the express sorting machine within the preset duration according to the bilateral dropping probability, the unilateral dropping probability, and the unilateral flow item data;

[0089] Step S304: Merge the bilateral flow item dropping data and the unilateral flow item dropping data to obtain the dropped express data.

[0090] In step S301 of some embodiments, according to the characteristics of the two-way flow items and the one-way flow items, set the probability of the two-way flow items falling into the grid on the express sorting machine within half of the preset duration and the probability of the one-way flow items falling into the grid on the express sorting machine within half of the preset duration, to obtain the two-way falling grid probability of the two-way flow items and the one-way falling grid probability of the one-way flow items.

[0091] In step S302 of some embodiments, according to the probability of the two-way flow items falling into the grid on the express sorting machine within half of the preset duration set in advance and the unknown t that has been processed with variable declaration, calculate the two-way flow item falling grid data within the preset duration.

[0092] In step S303 of some embodiments, according to the probability of the one-way flow items falling into the grid on the express sorting machine within half of the preset duration set in advance and the one-way flow item data 1 - t that has been processed with variable declaration, calculate the one-way flow item falling grid data within the preset duration.

[0093] In step S304 of some embodiments, when obtaining the two-way flow item falling grid data within the preset duration and the one-way flow item falling grid data within the preset duration, perform data summation processing on the two-way flow item falling grid data and the one-way flow item falling grid data to obtain the falling grid express data of the express sorting machine within the preset duration.

[0094] In steps S301 to S304 illustrated in this embodiment, according to the two-way falling grid probability, the one-way falling grid probability, the two-way flow item data, and the one-way flow item data, respectively obtain the two-way flow item falling grid data and the one-way flow item falling grid data within the preset duration, and then sum the two-way flow item falling grid data and the one-way flow item falling grid data to obtain the falling grid express data of the express sorting machine within the preset duration, which is convenient for the express sorting personnel to analyze the relationship between the two-way flow item data, the one-way flow item data, and the falling grid express data.

[0095] It should be noted that in the embodiments of the present application, when obtaining the two-way flow item falling grid data and the one-way flow item falling grid data, it is necessary to assume that the express sorting machine supplies express items once every half of the preset duration, the number of express items supplied is the same as the number of express items that the remaining transport carts can carry, the proportion of the two-way flow items in the express item supply is consistent with the two-way flow item data, and the proportion of the one-way flow items in the express item supply is consistent with the one-way flow item data.

[0096] Please refer to Figure 4 , in some embodiments, step S302 may include but is not limited to steps S401 to S405:

[0097] Step S401: Divide the preset duration into two target time intervals of the same time length, obtaining a first target time interval and a second target time interval. Among them, the first target time interval is the first half of the preset duration, and the second target time interval is the second half of the preset duration;

[0098] Step S402: Calculate the first landing data of the two-way flow items in the first target time interval according to the two-way flow item data and the two-way landing probability;

[0099] Step S403: According to the first landing data, obtain the quantity of the remaining items of the two-way flow items and the quantity of the replenishment items that the express sorting machine needs to replenish in the second target time interval. The remaining items refer to the two-way flow items that did not land in the first target time interval;

[0100] Step S404: Calculate the second landing data of the replenishment items and the third landing data of the remaining items in the second target time interval according to the two-way landing probability and the one-way landing probability;

[0101] Step S405: Calculate the landing data of the two-way flow items within the preset duration according to the first landing data, the second landing data, and the third landing expression data.

[0102] In step S401 of some embodiments, the time interval of the preset duration is divided into two equal parts according to the length of the time, obtaining a first target time interval that occupies the first half of the time interval and a second target time interval that occupies the second half of the time interval.

[0103] In step S402 of some embodiments, according to the preset two-way landing probability, determine the landing probability of the two-way flow items on the express sorting machine within the first target time interval. Further, according to the two-way flow item data t, calculate the first landing data of the two-way flow items within the first target interval.

[0104] In step S403 of some embodiments, when the first target time interval ends, according to the first quantity and the first landing data, calculate the remaining quantity of the two-way flow items on the express sorting machine, obtain the quantity of the remaining items, and use the first landing data as the quantity of the replenishment items that the express sorting machine needs to replenish in the second target time interval. It should be noted that the proportion of the two-way flow items in the replenishment items is the same as the two-way flow item data, and the proportion of the one-way flow items in the replenishment items is the same as the one-way flow item data.

[0105] In step S404 of some embodiments, according to the preset bilateral falling probability and unilateral falling probability, determine the falling data of the bilaterally flowing parts and the falling data of the unilaterally flowing parts in the supplementary parts, perform a summation operation on the falling data of the bilaterally flowing parts and the falling data of the unilaterally flowing parts in the supplementary parts to obtain the second falling data of the supplementary parts, and calculate the third falling data of the remaining parts according to the bilateral falling probability.

[0106] In step S405 of some embodiments, perform a summation operation on the first falling data, the second falling data, and the third falling data to obtain the falling data of the bilaterally flowing parts within a preset time period.

[0107] In steps S401 to S405 illustrated in this embodiment, by segmenting the preset time period, obtain the first target time interval and the second target time interval, and obtain the first falling data of the bilaterally flowing parts within the first target time interval, the second falling data of the supplementary parts supplemented due to the lack of the number of express items in the first falling data within the second target time interval, and the third falling data of the remaining bilaterally flowing parts within the second target time interval. Further, perform a summation operation on the first falling data, the second falling data, and the third falling data to obtain the falling data of the bilaterally flowing parts within the preset time period, which can reflect the correlation between the data of the bilaterally flowing parts and the falling data of the bilaterally flowing parts within the preset time.

[0108] In step S105 of some embodiments, obtain the conversion relationship between the falling express data and the express sorting production capacity data, and convert the known falling express data into express sorting production capacity data according to the conversion relationship to obtain the express sorting production capacity data within a preset time period.

[0109] In step S105 illustrated in this embodiment, by converting the known falling express data into express sorting production capacity data, the correlation between the data of the bilaterally flowing parts and the falling express data can be converted into the correlation between the data of the bilaterally flowing parts and the express sorting production capacity data, so as to facilitate the analysis of the relationship between the proportion of the bilaterally flowing parts in the express items on the express sorting machine and the express sorting production capacity of the express sorting machine.

[0110] Please refer to Figure 5 , in some embodiments, after step S105, it may further include but is not limited to steps S501 to S503:

[0111] Step S501, obtain the configuration data of the express sorting machine, where the configuration data includes mechanism model data and data model data. The mechanism model data is data such as the size, material, and color of the device, and the data model data is the data distribution of the device indicators;

[0112] Step S502, construct a virtual simulation model of the express sorting machine using digital twin technology according to the configuration data;

[0113] Step S503: Verify the express sorting production capacity data using the virtual simulation model to obtain the verification result.

[0114] In step S501 of some embodiments, measure and record the basic equipment data of the express sorting machine to obtain the mechanism model data of the express sorting machine. Set the data model data of the express sorting machine according to the business requirements and historical business data. Combine the mechanism model data and the data model data to obtain the configuration data of the express sorting machine. It should be noted that the data model data includes data such as the scanning success rate of the scanner on the express sorting machine, the feeding efficiency of the feeding table on the express sorting machine, the piece volume distribution, locking time, and return rate when locking the grids on the express sorting machine.

[0115] In step S502 of some embodiments, according to the mechanism model data in the configuration data, construct a virtual model machine of the express sorting machine and perform different optimizations on each component in the virtual model machine to obtain the virtual simulation model. It should be noted that to optimize the feeding table in the virtual model machine, mainly learn the feeding rhythm of the feeding personnel through machine learning algorithms, that is, fit the feeding rate distribution. To optimize the gantry sorter in the virtual model machine, mainly optimize the sorting logic and learn and fit the equipment mis-sorting probability distribution of the sorter. To optimize the six-sided scanner in the virtual model machine, mainly optimize the non-reading rate distribution and multi-barcode distribution. To optimize the grid in the virtual model machine, mainly optimize the piece volume distribution and locking time distribution when locking the grid.

[0116] In step S503 of some embodiments, input multiple groups of bilateral flow piece data into the virtual simulation model, compare and verify the total simulation production capacity of the virtual simulation model with the express sorting production capacity data to obtain the verification result.

[0117] In steps S501 to S503 shown in this embodiment, virtualize the express sorting machine using digital twin technology, which is convenient for verifying the express sorting production capacity data and improves the verification speed of the express sorting production capacity data.

[0118] Please refer to Figure 6 , in some embodiments, step S503 includes but is not limited to steps S601 to S604:

[0119] Step S601: Obtain the test values of the express sorting machine, where the test values are bilateral flow piece data and unilateral flow piece data;

[0120] Step S602: Calculate the predicted total production capacity of the express sorting machine according to the express sorting production capacity data and the test values;

[0121] Step S603: Input the test value into the virtual simulation model to obtain the total simulation production capacity of the express sorting machine.

[0122] Step S604: Compare the total simulation production capacity with the predicted total production capacity to obtain the verification result.

[0123] In step S601 of some embodiments, multiple groups of bilateral flow piece data and unilateral flow piece data are randomly generated, and the bilateral flow piece data and the unilateral flow piece data are used as the test values of the express sorting machine. It should be noted that the sum of the bilateral flow piece data and the unilateral flow piece data in each group of test values is equal to 100%.

[0124] In step S602 of some embodiments, the test value is input into the express sorting production capacity data to obtain the predicted total production capacity of the express sorting machine.

[0125] In step S603 of some embodiments, the test value is input into the virtual simulation model to obtain the total simulation production capacity of the express sorting machine.

[0126] In step S604 of some embodiments, compare the magnitudes of the predicted total production capacity and the total simulation production capacity to obtain the verification result.

[0127] In steps S601 to S604 shown in this embodiment, by inputting the same multiple groups of test data into the express sorting production capacity data and the virtual simulation model respectively, the predicted total production capacity and the total simulation production capacity of the express sorting machine are obtained, and the predicted total production capacity and the total simulation production capacity are compared and verified to obtain the verification result of whether the express sorting production capacity data is correct, improving the accuracy of the express sorting production capacity data, thereby improving the sorting production capacity during express sorting.

[0128] Please refer to Figure 7 , in some embodiments, step S106 may include but is not limited to steps S701 to S703:

[0129] Step S701: According to the express sorting production capacity data, draw a relationship curve between the bilateral flow piece data and the total production capacity of the express sorting machine.

[0130] Step S702: Obtain the actual bilateral ratio of the bilateral flow pieces on the express sorting machine.

[0131] Step S703: According to the relationship curve and the actual bilateral ratio, formulate an express sorting plan for the express sorting machine.

[0132] In step S701 of some embodiments, according to the express sorting production capacity data, determine the expression of the total production capacity of the express sorting machine. When the expression of the total production capacity contains bilateral flow piece data, draw a relationship curve between the bilateral flow piece data and the total production capacity of the express sorting machine.

[0133] In step S702 of some embodiments, calculate the proportion of the first quantity of two-way flow items in the total quantity of express items to obtain the true two-way proportion.

[0134] In step S703 of some embodiments, find the total production capacity range that the true two-way proportion can reach on the relationship curve between the two-way flow item data and the total production capacity of the express sorting machine, and screen out the true two-way proportion with the largest total production capacity from the total production capacity range as the express sorting plan of the express sorting machine.

[0135] In steps S701 to S703 illustrated in this embodiment, according to the express sorting production capacity data, draw the relationship curve between the two-way flow item data and the total production capacity of the express sorting machine, and according to the true two-way proportion of the number of two-way flow items in the total number of express items, screen out the true two-way proportion with the largest total production capacity as the express sorting plan of the express sorting machine, which improves the total production capacity of express sorting in different environments.

[0136] The embodiment of the present application obtains the proportion data of two-way flow items in the total number of express items to obtain the two-way flow item data, and gradually obtains the potential relationship between the two-way flow item data and the express sorting production capacity data, determines the impact of the two-way flow item data on the total production capacity of express sorting, and then improves the total production capacity of express sorting by adjusting the proportion of two-way flow items in the total number of express items in the actual express sorting process.

[0137] Please refer to Figure 8 , the embodiment of the present application also provides an express sorting device, which can implement the above express sorting method. The device includes:

[0138] An express item relationship acquisition module 801, configured to acquire the association relationship between two-way flow items and one-way flow items on the express sorting machine to obtain the single and two-way express item association relationship. Among them, the express sorting machine transports the first quantity of two-way flow items and the second quantity of one-way flow items on a preset transmission track. The single and two-way express item association relationship refers to the relationship between the first quantity and the total quantity of express items, and the relationship between the second quantity and the total quantity of express items. The total quantity of express items is the sum of the first quantity and the second quantity.

[0139] An express item quantity assignment module 802, configured to perform variable declaration processing on the proportion of the first quantity in the total quantity of express items to obtain two-way flow item data, and perform variable declaration processing on the proportion of the second quantity in the total quantity of express items according to the single and two-way express item association relationship and the two-way flow item data to obtain one-way flow item data.

[0140] The sorting capacity data acquisition module 803 is configured to obtain the sorted express data of the express sorting machine within a preset time period according to the bilateral flow piece data and the unilateral flow piece data, where the preset time period is the time for any express piece to go around the express sorting machine on the preset transmission track, and according to the sorted express data, obtain the express sorting capacity data of the express sorting machine within the preset time period.

[0141] The express sorting plan formulation module 804 is configured to generate a sorting plan for the express sorting machine according to the express sorting capacity data to obtain target sorting plan data, where the target sorting plan data is used to guide the express sorting staff to perform express sorting.

[0142] The specific implementation manner of this express sorting device is basically the same as the specific embodiments of the above express sorting method, and will not be elaborated here.

[0143] The embodiment of the present application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the above express sorting method. The electronic device can be any intelligent terminal including a tablet computer, an in-vehicle computer, etc.

[0144] Please refer to Figure 9 , Figure 9 , which shows the hardware structure of an electronic device in another embodiment. The electronic device includes:

[0145] The processor 901 can be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided by the embodiments of the present application;

[0146] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 902 can store an operating system and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 902, and are called by the processor 901 to execute the express sorting method of the embodiments of the present application;

[0147] The input / output interface 903 is used to implement information input and output;

[0148] A communication interface 904, which is used to implement the communication interaction between this device and other devices. It can achieve communication through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.);

[0149] A bus 905, which transmits information between various components of the device (such as a processor 901, a memory 902, an input / output interface 903, and a communication interface 904);

[0150] Among them, the processor 901, the memory 902, the input / output interface 903, and the communication interface 904 achieve communication connections with each other inside the device through the bus 905.

[0151] The embodiment of the present application also provides a computer-readable storage medium. This computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned express sorting method is implemented.

[0152] As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory can include high-speed random access memory, and can also include non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely set relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above-mentioned network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and their combinations.

[0153] The express sorting method, express sorting device, electronic device, and storage medium provided by the embodiment of the present application obtain the proportion data of two-way flow items in the total number of express items, obtain two-way flow item data, and gradually obtain the potential relationship between the two-way flow item data and the express sorting production capacity data, determine the impact of the two-way flow item data on the total production capacity of express sorting, and then improve the total production capacity of express sorting by adjusting the proportion of two-way flow items in the total number of express items during the actual express sorting process.

[0154] The embodiments described in the embodiment of the present application are to more clearly illustrate the technical solutions of the embodiment of the present application, and do not constitute a limitation to the technical solutions provided by the embodiment of the present application. Those skilled in the art know that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiment of the present application are equally applicable to similar technical problems.

[0155] Those skilled in the art can understand that the technical solutions shown in the figure do not constitute a limitation to the embodiment of the present application, and may include more or fewer steps than shown in the figure, or combine some steps, or different steps.

[0156] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0157] Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, and their appropriate combinations.

[0158] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of this application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of this application described here can be implemented in an order different from those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0159] It should be understood that in this application, "at least one (item)" means one or more, and "a plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: only A exists, only B exists, and both A and B exist at the same time. Among them, A and B can be singular or plural. The character " / " generally means that the associated objects before and after are in an "or" relationship. "At least one (one)" or its similar expression below refers to any combination of these items, including any combination of single item (one) or plural items (ones). For example, at least one (one) of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0160] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the above division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical or other forms.

[0161] The units described above as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0162] In addition, in each embodiment of the present application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0163] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present application. And the aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM for short), random access memory (RAM for short), magnetic disks or optical discs that can store programs.

[0164] The preferred embodiments of the embodiments of the present application have been described above with reference to the drawings, and thus do not limit the scope of rights of the embodiments of the present application. Any modifications, equivalent replacements, and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of rights of the embodiments of the present application.

Claims

1. A method for sorting express deliveries, characterized in that, The method includes: Obtaining the correlation relationship between the two-way flow items and the one-way flow items on the express sorting machine to obtain the single-to-two-way express item correlation relationship. Among them, the express sorting machine transports the first quantity of the two-way flow items and the second quantity of the one-way flow items on the preset transmission track. The single-to-two-way express item correlation relationship refers to the relationship between the first quantity and the total quantity of express items, and the relationship between the second quantity and the total quantity of express items. The total quantity of express items is the sum of the first quantity and the second quantity; Performing variable declaration processing on the proportion of the first quantity in the total quantity of express items to obtain two-way flow item data; According to the single-to-two-way express item correlation relationship and the two-way flow item data, performing variable declaration processing on the proportion of the second quantity in the total quantity of express items to obtain one-way flow item data; According to the two-way flow item data and the one-way flow item data, obtaining the grid-drop express data of the express sorting machine within the preset time period. Among them, the preset time period is the time for any express item to go around the express sorting machine on the preset transmission track; According to the grid-drop express data, obtaining the express sorting production capacity data of the express sorting machine within the preset time period; Generating a sorting plan for the express sorting machine according to the express sorting production capacity data to obtain target sorting plan data. Among them, the target sorting plan data is used to guide express sorting employees to perform express sorting.

2. The method according to claim 1, wherein Before obtaining the grid-drop express data of the express sorting machine within the preset time period according to the two-way flow item data and the one-way flow item data, the method further includes: Obtaining the running speed, body length, and total number of transport trolleys on the express sorting machine. Among them, the transport trolleys are used to transport the two-way flow items and the one-way flow items; Calculating the time for the transport trolley to go around the express sorting machine on the preset transmission track according to the running speed, the body length, and the total number of trolleys to obtain the preset time period.

3. The recommendation method according to claim 1, wherein The obtaining of the grid-drop express data of the express sorting machine within the preset time period according to the two-way flow item data and the one-way flow item data includes: Obtaining the two-way grid-drop probability of the two-way flow items and the one-way grid-drop probability of the one-way flow items. Among them, the two-way grid-drop probability refers to the probability that the two-way flow items drop into the grid on the express sorting machine within half of the preset time period, and the one-way grid-drop probability refers to the probability that the one-way flow items drop into the grid on the express sorting machine within half of the preset time period; Obtaining the two-way flow item grid-drop data of the express sorting machine within the preset time period according to the two-way grid-drop probability, the one-way grid-drop probability, and the two-way flow item data; Obtaining the one-way flow item grid-drop data of the express sorting machine within the preset time period according to the two-way grid-drop probability, the one-way grid-drop probability, and the one-way flow item data; Performing data merging on the two-way flow item grid-drop data and the one-way flow item grid-drop data to obtain the grid-drop express data.

4. The method according to claim 3, characterized in that Obtaining the bilateral flow item grid - falling data of the express sorting machine within a preset time period according to the bilateral grid - falling probability, the unilateral grid - falling probability, and the bilateral flow item data includes: Dividing the preset time period into two target time intervals with the same time length to obtain a first target time interval and a second target time interval, where the first target time interval is the first half of the preset time period, and the second target time interval is the second half of the preset time period; Calculating the first grid - falling data of the bilateral flow items within the first target time interval according to the bilateral flow item data and the bilateral grid - falling probability; Obtaining the number of remaining items of the bilateral flow items and the number of supplementary items that the express sorting machine needs to supplement within the second target time interval according to the first grid - falling data, where the remaining items refer to the bilateral flow items that do not fall into the grid within the first target time interval; Calculating the second grid - falling data of the supplementary items and the third grid - falling data of the remaining items within the second target time interval according to the bilateral grid - falling probability and the unilateral grid - falling probability; Calculating the bilateral flow item grid - falling data within the preset time period according to the first grid - falling data, the second grid - falling data, and the third grid - falling expression data.

5. The method according to claim 1, wherein Generating a sorting plan for the express sorting machine according to the express sorting production capacity data to obtain target sorting plan data, including: Drawing a relationship curve between the bilateral flow item data and the total production capacity of the express sorting machine according to the express sorting production capacity data; Obtaining the true bilateral proportion of the bilateral flow items on the express sorting machine; Formulating an express sorting plan for the express sorting machine according to the relationship curve and the true bilateral proportion.

6. The method according to any one of claims 1 to 5, characterized in that After obtaining the express sorting production capacity data of the express sorting machine according to the grid - falling express data, the method further includes: Obtaining the configuration data of the express sorting machine, where the configuration data includes mechanism model data and data model data. The mechanism model data is data such as the size, material, and color of the device, and the data model data is the data distribution of device indicators; Constructing a virtual simulation model of the express sorting machine using digital twin technology according to the configuration data; Verifying the express sorting production capacity data using the virtual simulation model to obtain a verification result.

7. The recommendation method according to claim 6, characterized in that, Verifying the express sorting production capacity data using the virtual simulation model to obtain a verification result, including: Obtaining the test values of the express sorting machine, where the test values include bilateral flow item data and unilateral flow item data; Calculating the predicted total production capacity of the express sorting machine according to the express sorting production capacity data and the test values; Inputting the test values into the virtual simulation model to obtain the simulated total production capacity of the express sorting machine; Comparing the simulated total production capacity with the predicted total production capacity to obtain the verification result.

8. An express sorting device, characterized in that, The device includes: The express parcel relationship acquisition module is used to acquire the association relationship between the two-way flow parcels and the one-way flow parcels on the express sorting machine, and obtain the single-to-double-way express parcel association relationship. Among them, the express sorting machine transports the first quantity of the two-way flow parcels and the second quantity of the one-way flow parcels on the preset transmission track. The single-to-double-way express parcel association relationship refers to the relationship between the first quantity and the total quantity of express parcels, and the relationship between the second quantity and the total quantity of express parcels. The total quantity of express parcels is the sum of the first quantity and the second quantity; The express parcel quantity assignment module is used to perform variable declaration processing on the proportion of the first quantity in the total quantity of express parcels to obtain two-way flow parcel data. According to the single-to-double-way express parcel association relationship and the two-way flow parcel data, variable declaration processing is performed on the proportion of the second quantity in the total quantity of express parcels to obtain one-way flow parcel data; The sorting production capacity data acquisition module is used to acquire the grid-drop express data of the express sorting machine within a preset time period according to the two-way flow parcel data and the one-way flow parcel data. Among them, the preset time period is the time for any express parcel to circle around the express sorting machine on the preset transmission track. According to the grid-drop express data, the express sorting production capacity data of the express sorting machine within the preset time period is acquired; The express sorting plan formulation module is used to generate a sorting plan for the express sorting machine according to the express sorting production capacity data to obtain target sorting plan data. Among them, the target sorting plan data is used to guide express sorting employees to perform express sorting.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the express sorting method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the express sorting method according to any one of claims 1 to 7 is implemented.

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