CN117910707B

CN117910707B - Load evaluation method, load evaluation device, electronic device and computer readable storage medium

Info

Publication number: CN117910707B
Application number: CN202410302816.3A
Authority: CN
Inventors: 蓝晨
Original assignee: Shanghai Hummingbird Instant Information Technology Co ltd; Zhejiang Koubei Network Technology Co Ltd
Current assignee: Shanghai Hummingbird Instant Information Technology Co ltd; Zhejiang Koubei Network Technology Co Ltd
Priority date: 2024-03-15
Filing date: 2024-03-15
Publication date: 2024-06-18
Anticipated expiration: 2044-03-15
Also published as: CN117910707A

Abstract

The embodiment of the invention discloses a load assessment method, a load assessment device, electronic equipment and a computer readable storage medium. According to the embodiment of the invention, the information set corresponding to the target task is obtained, and the volume consumption of the article set to the storage device under the corresponding category is determined according to the article quantity of the article set corresponding to the target task under each category in the information set and the corresponding relation between the article quantity and the article volume, so that the load parameter corresponding to the target task is determined according to the volume consumption of the article set to the storage device under each category. Therefore, in the embodiment of the invention, the load parameters of the target task can be determined according to the types of the articles in the article set and the quantity of the article set under different categories, so that the accuracy of load evaluation is improved, and the difficulty of load evaluation is reduced.

Description

Load evaluation method, load evaluation device, electronic device and computer readable storage medium

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a load assessment method, a load assessment device, an electronic device, and a computer readable storage medium.

Background

With the continuous acceleration of life pace, more and more people choose to transport goods by means of logistics means such as freight transportation companies, express delivery companies, take-away platforms and the like in order to save time. However, the loads caused by different articles on the delivery capacity are different, and one delivery task often needs to deliver a plurality of different articles, so that it is difficult to evaluate the loads caused by the delivery task on the delivery capacity by adopting a unified standard in the prior art.

Disclosure of Invention

In view of this, embodiments of the present invention provide a load assessment method, apparatus, electronic device, and computer readable storage medium, so as to determine load parameters of a target task according to a category of each item in an item set and the number of the item sets in different categories, improve accuracy of load assessment, and reduce difficulty of load assessment.

In a first aspect, an embodiment of the present invention provides a load evaluation method, where the method includes:

Acquiring an information set corresponding to a target task, wherein the information set comprises the category of each item in an item set corresponding to the target task and the number of items in the item set under the category;

determining a load sub-parameter of the article set under a corresponding category according to the number of the articles and the corresponding relation between the number of the articles and the volume of the articles, wherein the load sub-parameter is used for representing the volume consumption of the article set to the storage device under the corresponding category;

and determining the load parameters corresponding to the target task according to the load sub-parameters of the article set under each category.

Optionally, the correspondence between the number of articles and the volume of articles is obtained by:

Acquiring a first task combination set, wherein each first task combination in the first task combination set is the largest combination of undelivered tasks which can be born by transport capacity resources, and the category of each article corresponding to the first task combination belongs to a first category;

determining the first article quantity corresponding to each first task combination;

and for the first category, determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the first articles.

Optionally, the correspondence between the number of articles and the volume of articles is further obtained by:

Acquiring a second task combination set, wherein each second task combination in the second task combination set is the largest combination of undelivered tasks which can be born by transport capacity resources, the category of at least one article corresponding to the second task combination belongs to a second category, and the category of each article corresponding to the second task combination belongs to the first category or the second category;

Determining the number of second objects corresponding to each second task combination;

and for the second category, determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the second articles.

Optionally, for the second category, determining the correspondence between the number of articles and the volume of articles according to the volume of the storage device and the number of the second articles includes:

Determining a first article volume of a first type of articles corresponding to each second task combination according to the first article number and the corresponding relation between the first article number and the article volume, wherein the first type of articles are articles with the category belonging to the first category;

determining a second article volume of a second type of article corresponding to each second task combination according to the volume and each first article volume, wherein the second type of article is an article with a category belonging to the second category;

and for the second category, determining the corresponding relation between the article quantity and the article volume according to the second article volume and the second article quantity.

Acquiring a third task combination set, wherein each third task combination in the third task combination set is the largest combination of undelivered tasks which can be born by transport capacity resources, the category of at least one article corresponding to the third task combination belongs to a third category, and each category corresponding to the third task combination belongs to the first category, the second category or the third category;

determining the number of third objects corresponding to each third task combination;

and for the third category, determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the third articles.

Optionally, for the third category, determining, according to the volume of the storage device and the third article number, a correspondence between the article number and the article volume includes:

determining a first article volume of first articles corresponding to each third task combination according to the first article number and the corresponding relation between the first article number and the article volume, wherein the first articles are articles with categories belonging to the first category;

Determining a second article volume of a second type of articles corresponding to each third task combination according to the second article number and the corresponding relation between the second article number and the article volume, wherein the second type of articles are articles with the category belonging to the second category;

Determining a third object volume of a corresponding third object according to at least one of the first object volume and the second object volume corresponding to each third task combination and the volume, wherein the third object is an object with a category belonging to the third category;

and for the third category, determining the corresponding relation between the article quantity and the article volume according to the third article volume and the third article quantity.

Optionally, the method further comprises:

Acquiring resource consumption parameters of all articles under the same category in each task combination set in the first task combination set and/or the second task combination set and/or the third task combination set;

And screening the first task combination set and/or the second task combination set and/or the third task combination set according to the resource consumption parameters and the quantity of the articles.

Optionally, the determining the load parameter corresponding to the target task according to the load sub-parameter of the article set under each category includes:

And determining the load parameters according to the sum of the load sub-parameters and the volume of the storage device.

In a second aspect, an embodiment of the present invention provides a load evaluation apparatus, including:

The collection acquisition unit is used for acquiring an information collection corresponding to a target task, wherein the information collection comprises the category of each item in an item collection corresponding to the target task and the item number of the item collection under the category;

The sub-parameter determining unit is used for determining a load sub-parameter of the article set under the corresponding category according to the number of the articles, wherein the load sub-parameter is determined according to the corresponding relation between the number of the articles and the volume of the articles, and the load sub-parameter is used for representing the volume consumption of the article set to the storage device under the corresponding category;

And the parameter determining unit is used for determining the load parameter corresponding to the target task according to the load sub-parameters of the object set under each category.

In a third aspect, an embodiment of the present invention provides an electronic device, including a memory for storing one or more computer program instructions, and a processor, wherein the one or more computer program instructions are executed by the processor to implement the method of any of the first aspects.

In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium having a computer program stored therein, which when executed by a processor, implements a method according to any of the first aspects.

According to the embodiment of the invention, the information set corresponding to the target task is obtained, and the volume consumption of the article set to the storage device under the corresponding category is determined according to the article quantity of the article set corresponding to the target task under each category in the information set and the corresponding relation between the article quantity and the article volume, so that the load parameter corresponding to the target task is determined according to the volume consumption of the article set to the storage device under each category. Therefore, in the embodiment of the invention, the load parameters of the target task can be determined according to the types of the articles in the article set and the number of the article sets in different types, so that the accuracy of load evaluation is improved, and the difficulty of load evaluation is reduced.

Drawings

The above and other objects, features and advantages of the present invention will become more apparent from the following description of embodiments of the present invention with reference to the accompanying drawings, in which:

FIG. 1 is a schematic diagram of a hardware system architecture according to an embodiment of the present invention;

Fig. 2 is a flowchart of a load evaluation method of the first embodiment of the present invention;

FIG. 3 is a flow chart of determining the correspondence of the number of items to the volume of items in an alternative implementation of the first embodiment of the invention;

FIG. 4 is a schematic view of a storage device in a fully loaded state according to an embodiment of the present invention;

FIG. 5 is a data flow diagram of a load assessment method according to an embodiment of the present invention;

Fig. 6 is a schematic view of a load assessment apparatus according to a second embodiment of the present invention;

Fig. 7 is a schematic view of an electronic device according to a third embodiment of the present invention.

Detailed Description

The present application is described below based on examples, but the present application is not limited to only these examples. In the following detailed description of the present application, certain specific details are set forth in detail. The present application will be fully understood by those skilled in the art without the details described herein. Well-known methods, procedures, flows, components and circuits have not been described in detail so as not to obscure the nature of the application.

Moreover, those of ordinary skill in the art will appreciate that the drawings are provided herein for illustrative purposes and that the drawings are not necessarily drawn to scale.

Unless the context clearly requires otherwise, the words "comprise," "comprising," and the like throughout the application are to be construed as including but not being exclusive or exhaustive; that is, it is the meaning of "including but not limited to".

In the description of the present application, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the embodiment of the invention, an application scenario of delivery of takeaway commodities (including electronic equipment, dining, clothes and the like) is taken as an example for explanation. However, those skilled in the art will readily understand that the method of the embodiment of the present invention is equally applicable in other application scenarios of article transportation, such as city (or cross-city) moving application scenarios.

Fig. 1 is a schematic diagram of a hardware system architecture according to an embodiment of the present invention. The hardware system architecture shown in fig. 1 may include a plurality of task issuing terminals, a plurality of task processing terminals, and at least one server, and fig. 1 illustrates one task issuing terminal 11, one task processing terminal 12, and one server 13 as an example. The task issuing terminal 11, the task processing terminal 12, and the server 13 shown in fig. 1 can be communicatively connected via a network. In the embodiment of the present invention, a user may select an item to be purchased through the task release terminal 11 and trigger an order settlement process, the task release terminal 11 may generate an order creation request according to a user operation, send the order creation request to the server 13, and the server 13 may generate an item delivery order according to the order creation request and distribute the item delivery order to the task processing terminal 12, so that a delivery person corresponding to the task processing terminal 12 may deliver the item according to the item delivery order.

To facilitate dispensing of the items, the dispensing personnel typically store the items in a storage device (e.g., a take-out box). In daily life, in order to improve the utilization rate of the storage device and the efficiency of article distribution, a distribution person can simultaneously bear a plurality of distribution tasks and load as many articles as possible into the storage device. When the storage device cannot be filled with articles corresponding to more distribution tasks, the load of the storage device reaches the maximum, namely full load. But the volumes of different items are different and the units of measure taken by different merchants for the same item may also be different. For example, in some barbeque shops, the measurement unit of the beef strings is 1 string, that is, when the number of beef strings added in the shopping cart is 1, the order 1 string is represented, and when the number is 2, the order 2 string is represented, etc.; in some barbeque shops, the measurement unit of the beef strings is 10 strings, namely, when the number of the beef strings added in the shopping cart is 1, the beef strings are ordered 10 strings, and when the number is 2, the beef strings are ordered 20 strings. Even though the same category of items may consume different volumes of the storage device, this makes it difficult in the prior art to evaluate the load of the delivery task on the delivery capacity using a uniform standard.

Fig. 2 is a flowchart of a load evaluation method according to a first embodiment of the present invention. As shown in fig. 2, the method of the present embodiment includes the following steps:

Step S201, an information set corresponding to a target task is obtained.

After receiving the order creation request sent by the user terminal, the server generates an article delivery order according to the order creation request, and takes the article delivery order as a target task. The order creation request carries information such as the identification of each item and the number of each item in the item set selected by the user, so that the server can acquire the information set corresponding to the target task according to the order creation request.

In this embodiment, the information set may include a category of each item in the item set and a number of items in the item set under each category. The higher the accuracy of the article classification, the closer the volume of the articles in the same category is, the more accurate the load assessment of the target task, so in this embodiment, the articles may be classified into different categories in advance according to the category of the provider to which the articles correspond, such as the category of milk tea juice, lunch, local dish, western snack, fresh flower, western food, medical health, private store, large-scale sales space, extra daily of business, fresh fruit, etc. The number of the articles in each category of the article set, namely the number of the articles belonging to the same category in the article set, for example, the article set corresponding to the order 1 comprises a mutton string 5 string, a beef string 10 string, a bread slice 2 slice, a mushroom string 5 string, a chicken wing 4 string, a potato slice 2 slice and a seafood porridge 2 bowl, and then the number of the article set in the barbecue category is 28, and the number in the porridge category is 2.

Step S202, determining the load sub-parameters of the article set under the corresponding categories according to the number of the articles and the corresponding relation between the number of the articles and the volume of the articles.

In this embodiment, the load sub-parameter is used to characterize the volume consumption of the storage device by the collection of items under the corresponding category, i.e. the total volume of items of the same category. The server can acquire the corresponding relation between the number of the articles and the volume corresponding to the type according to the type of each article in the article set corresponding to the target task, and determine the load sub-parameters of the articles in the corresponding type according to the number of the articles in the corresponding type of the article set and the corresponding relation between the number of the articles and the volume of the articles. The volumes of the different categories of items are generally different for the same number, so in this embodiment the correspondence between the number of items and the volume of the items is also related to the category of the items.

FIG. 3 is a flow chart of determining the correspondence of the number of items to the volume of the items in an alternative implementation of the first embodiment of the invention. As shown in fig. 3, in an alternative implementation manner of the present embodiment, the correspondence between the number of articles and the volume of the articles may be determined by the following steps:

step S301, a first task combination set is acquired.

In real life, the peak time period of the noon and the peak time period of the evening are peak time periods of the user's order, the storage devices of the capacity resources are usually in a full load state, and the volumes of the storage devices of the capacity resources are usually the same, so in this embodiment, the server can obtain task combinations of the capacity resources in the predetermined time periods of the noon and the peak time period of the evening in the predetermined area, and determine the first task combination set according to the task combinations.

In the present embodiment, the range of the predetermined area may be determined according to actual requirements, and the present embodiment is not particularly limited. The smaller the range of the predetermined area, the more similar the categories of the items selected by the user, and thus the higher the accuracy of determining the correspondence of the number of items to the volume of the items. For example, the predetermined area may be a city, a town, a street, a pre-divided grid, or the like.

The task combination is the maximum combination of undelivered tasks which can be born by the capacity resources, and if the capacity resources cannot bear more tasks, the storage device for the capacity resources is in a full-load state, so that the actual volume of the article is not required to be acquired, and the volume of the article can be determined according to the volume of the storage device.

For example, the maximum number of orders that the same delivery person can receive is 5, the orders received by the delivery person 1 are order 1, order 2, order 3, order 4 and order 5, and the processing sequence of the five orders is: acquiring the article set of the order 1- > acquiring the article set of the order 2- > delivering the article set of the order 2- > acquiring the article set of the order 3- > acquiring the article set of the order 4- > delivering the article set of the order 3- > delivering the article set of the order 4- > acquiring the article set of the order 5- > delivering the article set of the order 1, the largest combination of undelivered tasks that can be borne by the distribution personnel 1, namely the corresponding task combination is the order 1, the order 3 and the order 4.

Optionally, before acquiring the task combination of each capacity resource, the capacity resource may be screened according to the type of the capacity resource, and then the task combination of each capacity resource after screening is acquired. For example, if a certain type of capacity resource does not use the storage device to store items during the process of dispensing the items, then the task combination of that type of capacity resource will not be obtained.

In this embodiment, according to the duty ratio of the items and the magnitude of the load influence on the storage device, the items are divided into three category groups according to the category of the corresponding provider, which are a first category group, a second category group, and a third category group, respectively. For an item of a certain category in a certain category grouping, the duty cycle of the category item may be determined according to the ratio of the number of task combinations corresponding to the set of items comprising the category item to the total number of task combinations. For example, the total number of order combinations is 1000, and 300 item sets in the item sets corresponding to the order combinations include items of the barbecue category, so that the ratio of the barbecue category is 0.3.

The first category group comprises categories of articles which occupy higher weight and have smaller influence on the load of the storage device in the article set, and the first category group can comprise first categories of milk tea juice, lunch, western fast food and the like with more orders in one day through statistics; the second category group comprises the categories of the items which occupy less items in the item set and have less influence on the load of the storage device, namely the categories of the items which have less influence on the load of the storage device are other than the first category; the third category group includes categories to which items in the item set that have a greater impact on the load of the storage device belong. In this embodiment, the category having a higher occupancy may specifically be the category having the highest occupancy ranking of the first 30 bits, and the category having a lower occupancy may specifically be the category having the highest occupancy ranking of the second 30 bits. According to practical requirements, the present embodiment may also divide the categories of the articles into different number of category groups according to other factors, for example, according to storage conditions of the articles, etc., which is not limited in particular.

Therefore, after the task combinations of the capacity resources in the preset area within the preset time period are obtained, the task combinations can be screened according to the types of the articles in the article sets corresponding to the task combinations, and a first task combination set is obtained. The categories of the items in the item set corresponding to the first task combinations in the first task combination set all belong to the same first category in the first category group.

It is easy to understand that the article set corresponding to each first task group in the first task group set does not include articles belonging to other first categories in the first category group. For example, the first category group is a category group that occupies a relatively large area and has a small influence on the load of the storage device, and the task group 1, the task group 2, the task group 3, and the task group 4 are all task groups. The object set 1 corresponding to the task combination 1 comprises a flat bean braised flour, an egg fried meal and a minced meat eggplant covered meal, the object set 2 corresponding to the task combination 2 comprises a braised chicken covered meal, a fried rice flour and a hot dried flour, the object set 3 corresponding to the task combination 3 comprises a fried bean sauce flour, an egg fried meal and a crispy chicken meal, the object set 4 corresponding to the task combination 4 comprises a fried chicken double-piece, a marmite porridge and a mushroom fat beef covered meal, wherein the flat bean braised flour, the egg fried meal, the minced meat eggplant covered meal, the braised chicken covered meal, the fried rice flour, the hot dried flour, the fried bean sauce flour, the crispy chicken meal, the marmite porridge and the mushroom fat beef covered meal all belong to the same first category in the first category group, namely a family rice flour food category, and the category to which the fried chicken double-piece belongs is different from the first category, namely the fried chicken double-piece belongs to the western fast food category, and therefore the first task combination set comprises the task combination 1, the task combination 2 and the task combination 3 does not comprise the task combination 4. It will be readily appreciated that the above examples do not take into account the actual duty cycle of the items and the actual impact on the load of the storage device.

Optionally, in order to reduce the influence of non-uniform measurement units on the correspondence between the number of acquired articles and the volume of the articles, the first task combination set may be further screened according to the resource consumption parameters (such as prices) and the number of articles of each type in the article set corresponding to each first task combination. For the articles of the same first type, if the resource consumption parameters corresponding to the articles of the same type in most article sets all belong to a preset value range (for example, 30-50 yuan), and the number of the articles also belong to a preset value range (for example, 3-5 articles), the first task combination corresponding to the article sets containing the consumption parameters or the articles with the number not belonging to the value range can be removed from the first task combination set. Further, the value range of the resource consumption parameter of each item and/or the value range of the number of items may be determined according to a predetermined quantile of the resource consumption parameter of each item, or may be determined by other various existing manners, which is not limited in this embodiment. For example, the lower limit of the value range of the resource consumption parameter of an item in a certain category is the 5 th percentile of the resource consumption parameters of the items in the category, and the upper limit is the 99 th percentile of the resource consumption parameters of the items in the category.

Step S302, determining the first article quantity corresponding to each first task combination.

After the first task combinations are determined, the first article quantity corresponding to each first task combination can be determined according to the task information corresponding to the first task combinations. The first task combination only includes the items with the category belonging to the first category (i.e., the first category of items), so that the number of each item can be obtained from the task information, and the total number of items in the item set is determined as the first item number.

Step S303, for the first category, determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the first articles.

Because the article set corresponding to the first task combination only comprises the first type of articles, and the storage device is in a full-load state, the total volume of the first type of articles in the article set corresponding to the first task combination is the volume of the storage device. Therefore, in the step, the total volume of the storage device can be determined according to the number of the first task combinations, and the total number of the first type of articles can be determined according to the sum of the numbers of the first articles, so that the corresponding relation between the number of the first type of articles and the volume of the articles can be determined according to the total volume of the storage device and the total number of the first type of articles.

Step S304, a second task combination set is acquired.

After the task combinations of the capacity resources in the preset area within the preset time period are obtained, the task combinations can be screened according to the categories of the articles in the article sets corresponding to the task combinations, and a second task combination set is obtained. The category of at least one article in the article set corresponding to each second task combination in the second task combination set belongs to the same second category in the second category group, and each article belongs to the same second category in the first category or the second category group.

It is easy to understand that the article set corresponding to each second task group in the second task group set may include articles of different first categories in the first category group, but does not include articles belonging to other second categories in the second category group. For example, the first category group is a category group which occupies a relatively large area and has a relatively small influence on the load of the storage device, and the second category group is a category group which occupies a relatively small area and has a relatively small influence on the load of the storage device, and the task group 1, the task group 2, the task group 3, and the task group 4 are all task groups. The object set 1 corresponding to the task combination 1 comprises a flat bean braised surface, a wireless keyboard and a wireless mouse, the object set 2 corresponding to the task combination 2 comprises braised chicken covered rice, fried rice noodles and a data line, the object set 3 corresponding to the task combination 3 comprises a fried bean sauce surface, paper extraction, sun-proof spraying and a wireless earphone, and the object set 4 corresponding to the task combination 4 comprises fried chicken double-spelling, a charger, shampoo and bath foam. The flat bean braised noodles, the braised chicken covered rice, the fried rice noodles, the fried bean sauce noodles and the fried chicken are of the same or different first categories in the first category grouping, the wireless keyboard, the wireless mouse, the data line, the wireless earphone, the charger, the paper extraction, the sun-proof spraying, the shampoo and the bath foam are of the same or different second categories in the second category grouping, namely the wireless keyboard, the wireless mouse, the data line, the wireless earphone and the charger are of electronic digital accessories, the paper extraction is of the household paper category, the sun-proof spraying, the shampoo and the bath foam are of the household chemical product category, and therefore the first task combination set comprises the task combination 1 and the task combination 2, and the task combination 3 and the task combination 4 are not included. It will be readily appreciated that the above examples do not take into account the actual duty cycle of the items and the actual impact on the load of the storage device.

Optionally, the second task combination set may also be screened according to the resource consumption parameters (such as prices) and the number of the items in each category of the item set corresponding to each second task combination. For the articles of the same second class, if the resource consumption parameters corresponding to the articles of the same class in most article sets all belong to a preset value range and the number of the articles also belong to the preset value range, the second task combination corresponding to the article sets containing the articles with the consumption parameters or the articles with the number not belonging to the value range can be removed from the second task combination set. Further, the value range of the resource consumption parameter of each item and/or the value range of the number of items may be determined according to the predetermined quantile of the resource consumption parameter of each item, or may be determined by other various existing manners, which is not limited in this embodiment.

Step S305, determining the second article number corresponding to each second task combination.

After the second task combinations are determined, the number of second objects corresponding to each second task combination can be determined according to task information corresponding to the second task combinations. If the second task combination only includes the items with the category belonging to the second category (i.e., the second category of items), determining the total number of the items in the task information as the second item number; if the second task combination includes both the first type of articles and the second type of articles, the difference between the total number of the articles in the task information and the number of the first type of articles may be determined as the number of the second articles corresponding to the second task combination, or the number of the second articles corresponding to the second task combination may be directly determined according to the task information.

Step S306, for the second category, determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the second articles.

In this step, if the second task combination corresponds to an article set including only the second type of articles, the volume of the storage device may be determined as the total volume of each second type of articles in the article set.

If the article set corresponding to the second task combination includes both the first type of articles and the second type of articles, the first article volume of the first type of articles in the article set can be determined according to the first article number of the first type of articles in the article set and the corresponding relation between the first article number and the article volume, and then the second article volume of the second type of articles in the article set can be determined according to the volume of the storage device and the first article volume of the first type of articles in the article set. Specifically, the second item volume of the second item may be determined from a difference between the volume of the storage device and the first item volume of the first item in the collection of items.

After determining the second article volumes of the second articles in the article sets corresponding to the second task combinations, the total number of the second articles can be determined according to the sum of the second article volumes, and the total volume of the second articles can be determined according to the sum of the second article volumes, so that the corresponding relation between the second article volumes and the second article volumes can be determined according to the total volume of the second articles and the total volume of the second articles.

Step S307, a third task combination set is acquired.

After the task combinations of the capacity resources in the preset area within the preset time period are obtained, the task combinations can be screened according to the categories of the articles in the article sets corresponding to the task combinations, and a third task combination set is obtained. The category of at least one article in the article set corresponding to each third task combination in the third task combination set belongs to the same third category in the third category group, and each article belongs to the same third category in the first category, the second category or the third category group.

It is easy to understand that the article set corresponding to each third task group in the third task group set may include articles of different first categories in the first category group, or may include articles of different second categories in the second category group, but does not include articles belonging to other third categories in the third category group. For example, the first category group is a category group that occupies a relatively large area and has a relatively small influence on the load of the storage device, the second category group is a category group that occupies a relatively small area and has a relatively small influence on the load of the storage device, and the third category group is a category group that has a relatively large influence on the load of the storage device, task group 1, task group 2, and task group 3. The article set 1 corresponding to the task combination 1 comprises a flat bean braised surface, a wireless keyboard, a wireless mouse and sports shoes, the article set 2 corresponding to the task combination 2 comprises a hamburger package and high-heeled shoes, and the article set 3 corresponding to the task combination 3 comprises paper extraction, sun-proof spraying, a wireless earphone and a sports wear package. Wherein the flat bean braised noodles and the hamburger package belong to different first categories in the first category grouping, the wireless keyboard, the wireless mouse, the data line, the wireless earphone, the charger paper extraction and the sun-proof spray belong to the same or different second categories in the second category grouping, and the sports shoes, the high-heeled shoes and the sports wear packages all belong to the same third category in the third category grouping, namely the clothing category, so that the first task combination set comprises a task combination 1, a task combination 2 and a task combination 3. It will be readily appreciated that the above examples do not take into account the actual duty cycle of the items and the actual impact on the load of the storage device.

Optionally, the third task combination set may also be screened according to the resource consumption parameters (such as prices) and the number of the items in each category of the item set corresponding to each third task combination. For the articles of the same third category, if the resource consumption parameters corresponding to the articles of the category in most article sets all belong to a preset value range and the number of the articles also belong to the preset value range, the third task combination corresponding to the article set containing the consumption parameters or the articles of which the number does not belong to the value range can be removed from the third task combination set. Further, the value range of the resource consumption parameter of each item and/or the value range of the number of items may be determined according to the predetermined quantile of the resource consumption parameter of each item, or may be determined by other various existing manners, which is not limited in this embodiment.

Step S308, determining the third object quantity corresponding to each third task combination.

After determining the third task combinations, determining the third object quantity corresponding to each third task combination according to the task information corresponding to the third task combinations. If the third task combination includes only the items of which the category belongs to the third category (i.e., the third category items), the total number of the items in the task information may be determined as the third item number; if the third task combination includes both the first type of articles and/or the second type of articles and the third type of articles, the difference between the total number of the articles in the task information and the number of the first type of articles and/or the second type of articles may be determined as the third article number corresponding to the third task combination, or the third article number corresponding to the third task combination may be directly determined according to the task information.

Step S309, for the third category, determining a corresponding relationship between the number of articles and the volume of the articles according to the volume of the storage device and the number of the third articles.

In this step, if the third task combination corresponds to an article set including only the third type of articles, the volume of the storage device may be determined as the total volume of each third type of articles in the article set.

If the article set corresponding to the third task combination includes both the first type of article and/or the second type of article and the third type of article, the first article volume of the first type of article in the article set can be determined according to the first article number of the first type of article in the article set and the corresponding relation between the first article number and the article volume, the second article volume of the second type of article in the article set can be determined according to the second article number of the second type of article in the article set and the corresponding relation between the second article number and the article volume, and then the third article volume of the third type of article in the article set can be determined according to the volume of the storage device and the first article volume of the first type of article and/or the second article volume of the second type of article in the article set. In particular, a third item volume of a third item of the second type may be determined from a difference between the volume of the storage device and a first item volume of a first item of the set of items and/or a second item volume of a second item of the set of items.

Fig. 4 is a schematic view of a storage device in a full load state according to an embodiment of the present invention. Taking the third task group G1 as an example, as shown in fig. 4, when the storage device 40 is in the full load state, the article set corresponding to the task group G1 includes a plurality of first articles 41, a plurality of second articles 42, and two third articles 43, where the two third articles belong to the same third category. After determining the category to which each first type of article 41 belongs and the category to which each second type of article 42 belongs, the first article volume of each first type of article 41 of the same category may be determined according to the number of articles of the first type of article 41 of the same category and the correspondence between the number of articles corresponding to the category and the article volume, and the second article volume of each second type of article 42 of the same category may be determined according to the number of articles of the second type of article 42 of the same category and the correspondence between the number of articles corresponding to the category and the article volume, and further the third article volumes of the two third types of articles 43 may be determined according to the difference between the volume of the storage device 40 and the sum of the volumes of the first article volume and the second article volume. That is, the number of items corresponding to the task group G1 is 2, and the third item volume is the difference between the volume of the storage device 40 and the volumes of the first item volume and the second item volume.

After determining the third object volumes of the third objects in the object sets corresponding to the third task combinations, determining the total number of the third objects according to the sum of the third object volumes, and determining the total volume of the third objects according to the sum of the third object volumes, thereby determining the corresponding relation between the number of the third objects and the object volumes according to the total volume of the third objects and the total number of the third objects.

And step S203, determining the load parameters corresponding to the target tasks according to the load sub-parameters of the article set under each category.

After determining the load sub-parameters of the article set under each category, the server can determine the load parameter corresponding to the target task according to the sum of the load sub-parameters and the volume of the storage device. In this embodiment, in order to facilitate uniform evaluation of the load parameters corresponding to each target task, the load parameters are converted into integers of 1-10. Specifically, the load parameter score may be expressed by the following formula:

Wherein, Load sub-parameters under the ith category for the target task,/>For the item number of the item of the ith category in the item set corresponding to the target task,/>For the corresponding relation between the number of the articles corresponding to the ith category and the volume of the articles,/>For the total volume of items of the ith category,/>For the total number of items of the ith category,/>And (2) the storage box is provided with a volume, [ x ] represents an integer part of x, i is more than or equal to 1 and less than or equal to n, wherein n is the total number of categories of each item in the item set corresponding to the target task.

Fig. 5 is a data flow diagram of a load assessment method according to an embodiment of the present invention. As shown in fig. 5, the article set 50 corresponding to the target task includes articles 51 to 58, wherein the articles 51 and 52 belong to the category C1, the articles 53 and 54 belong to the category C2, the articles 55, 56 and 57 belong to the category C3, and the articles 58 belong to the category C4. The server may determine that the number of articles in the article set under the category C1 is 2, the number of articles in the category C2 is 2, the number of articles in the category C3 is 3, the number of articles in the category C4 is 1, the corresponding relation 1 of the number of articles in the category C1 and the volume of articles is obtained, the corresponding relation 2 of the number of articles in the category C2 and the volume of articles is obtained, the corresponding relation 3 of the number of articles in the category C3 and the volume of articles is obtained, and the corresponding relation 4 of the number of articles in the category C4 is obtained, then the load subparameter of the article set under the category C1 is determined according to the number of articles in the category C1 and the corresponding relation 1 of the number of articles in the category C1 and the volume of articles is also determined, namely the parameter p1, the load subparameter of the article set under the category C2 is determined according to the number of articles in the category C2 and the corresponding relation 2 of articles in the category C2 is also determined, and the load subparameter of the article set under the category C4 is also determined according to the number of articles in the category C3 and the corresponding relation 3 of articles in the volume of articles in the category C4 is also determined according to the corresponding relation 4 of the number of articles in the category C3 and the volume of articles in the category C4 is determined. And thus the load parameter 59 corresponding to the target task is determined according to the parameter p1, the parameter p2, the parameter p3 and the parameter p4.

Alternatively, in this embodiment, the load parameter corresponding to the target task may be determined by other manners, for example, the sum of the load sub-parameters of the target task under each class is determined as the load parameter of the target task, which is not limited in this embodiment.

According to the embodiment of the invention, the information set corresponding to the target task is obtained, and the volume consumption of the article set to the storage device under the corresponding category is determined according to the article quantity of the article set corresponding to the target task under each category in the information set and the corresponding relation between the article quantity and the article volume, so that the load parameter corresponding to the target task is determined according to the volume consumption of the article set to the storage device under each category. Therefore, in the embodiment of the invention, the volume of the object is represented by the volume of the storage device, so that the actual volume of each object is not required to be acquired, the load parameters of the target task can be determined according to the types of each object in the object set and the number of the object sets in different types, the accuracy of load evaluation is improved, and the difficulty of load evaluation is reduced.

Fig. 6 is a schematic diagram of a load assessment apparatus according to a second embodiment of the present invention. As shown in fig. 6, the load evaluation device of the present embodiment includes a set acquisition unit 601, a sub-parameter determination unit 602, and a parameter determination unit 603.

The set obtaining unit 601 is configured to obtain an information set corresponding to a target task, where the information set includes a category of each item in an item set corresponding to the target task and a number of items of the item set under the category. The subparameter determining unit 602 is configured to determine a load subparameter of the item set under a corresponding category according to the number of items and a predetermined correspondence between the number of items and the volume of the items, where the load subparameter is used to characterize the volume consumption of the item set on the storage device under the corresponding category. The parameter determining unit 603 is configured to determine a load parameter corresponding to the target task according to the load sub-parameters of the article set under each category.

In an optional implementation manner, the corresponding relation between the number of the articles and the volume of the articles is acquired through a first set acquisition unit, a first number determination unit and a first relation determination unit.

The first set obtaining unit is configured to obtain a first task combination set, where each first task combination in the first task combination set is a maximum combination of undelivered tasks that can be borne by the transport capacity resource, and categories of items corresponding to the first task combination all belong to a first category. The first quantity determining unit is used for determining the quantity of the first articles corresponding to each first task combination. The first relation determining unit is used for determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the first articles for the first category.

In an optional implementation manner, the corresponding relation between the number of the articles and the volume of the articles is further acquired through a second set acquisition unit, a second number determination unit and a second relation determination unit.

The second set obtaining unit is configured to obtain a second task combination set, where each second task combination in the second task combination set is a maximum combination of undelivered tasks that can be borne by the capacity resource, a category of at least one article corresponding to the second task combination belongs to a second category, and a category of each article corresponding to the second task combination belongs to the first category or the second category. The second number determining unit is used for determining the number of second objects corresponding to each second task combination. And the second relation determining unit is used for determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the second articles for the second category.

In an alternative implementation, the second relationship determination unit comprises a first volume determination subunit, a second volume determination subunit, and a first relationship determination subunit.

The first volume determining subunit is configured to determine, according to the first number of articles and the corresponding relationship between the first number of articles and the volume of articles, a first article volume of a first type of article corresponding to each second task combination, where the first type of article is an article whose category belongs to the first category. And the second volume determining subunit is used for determining the second article volume of the second type of articles corresponding to each second task combination according to the volume and each first article volume, wherein the second type of articles are articles with the category belonging to the second category. The first relation determining subunit is configured to determine, for the second category, a correspondence between the number of items and the volume of items according to each of the second item volumes and each of the second item numbers.

In an optional implementation manner, the corresponding relation between the number of the articles and the volume of the articles is further acquired through a third set acquisition unit, a third number determination unit and a third relation determination unit.

The third set obtaining unit is configured to obtain a third task combination set, where each third task combination in the third task combination set is a maximum combination of undelivered tasks that can be borne by the capacity resource, a category of at least one article corresponding to the third task combination belongs to a third category, and each category corresponding to the third task combination belongs to the first category, the second category or the third category. The third quantity determining unit is used for determining the quantity of third objects corresponding to each third task combination. And the third relation determining unit is used for determining the corresponding relation between the number of the articles and the volume of the articles according to the volume of the storage device and the number of the third articles for the third category.

In an alternative implementation, the third relationship determination unit comprises a third volume determination subunit, a fourth volume determination subunit, a fifth volume determination subunit, and a second relationship determination subunit.

The third volume determining subunit is configured to determine, according to the first article number and a corresponding relationship between the first article number and the article volume, a first article volume of a first type of article corresponding to each third task combination, where the first type of article is an article whose category belongs to the first category. The fourth volume determining subunit is configured to determine, according to the second article number and a corresponding relationship between the second article number and an article volume, a second article volume of a second article corresponding to each of the third task combinations, where the second article is an article with a category belonging to the second category. And the fifth volume determining subunit is configured to determine a third object volume of a corresponding third class of objects according to the volume and at least one of the first object volume and the second object volume corresponding to each third task combination, where the third class of objects is an object with a class belonging to the third class. The second relation determining subunit is configured to determine, for the third category, a correspondence between the number of items and the volume of items according to each third item volume and each third item number.

In an alternative implementation, the apparatus further comprises a parameter acquisition subunit and a screening subunit.

The parameter obtaining subunit is configured to obtain resource consumption parameters of each article in the same category in each task combination set in the first task combination set and/or the second task combination set and/or the third task combination set. And the screening subunit is used for screening the first task combination set and/or the second task combination set and/or the third task combination set according to the resource consumption parameters and the quantity of the articles.

In an alternative implementation, the parameter determining unit 603 is further configured to determine the load parameter according to a sum of the load sub-parameters and a volume of the storage device.

Fig. 7 is a schematic view of an electronic device according to a third embodiment of the present invention. In the present embodiment, the electronic device 7 includes a server, a terminal, and the like. As shown in fig. 7, the electronic device 7: at least one processor 71; and a memory 72 communicatively coupled to the at least one processor 71; and a communication component 73 communicatively connected to the scanning device, the communication component 73 receiving and transmitting data under the control of the processor 71; wherein the memory 72 stores instructions executable by the at least one processor 71, the instructions being executable by the at least one processor 71 to implement the load assessment method described above.

Specifically, the electronic device includes: one or more processors 71 and a memory 72, one processor 71 being illustrated in fig. 7. The processor 71, the memory 72 may be connected by a bus or otherwise, which is illustrated in fig. 7 as a bus connection. The memory 72 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 71 executes various functional applications of the device and data processing, i.e., implements the load assessment method described above, by running non-volatile software programs, instructions, and modules stored in the memory 72.

Memory 72 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store a list of options, etc. In addition, memory 72 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 72 may optionally include memory located remotely from processor 71, such remote memory being connectable to an external device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

One or more modules are stored in the memory 72 that, when executed by the one or more processors 71, perform the load assessment method of any of the method embodiments described above.

The product may perform the method provided by the embodiment of the present application, and has the corresponding functional module and beneficial effect of the performing method, and technical details not described in detail in the embodiment of the present application may be referred to the method provided by the embodiment of the present application.

Another embodiment of the present invention is directed to a non-volatile storage medium storing a computer readable program for causing a computer to perform some or all of the method embodiments described above.

That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, and various modifications and variations may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A load assessment method, the method comprising:

Determining a load sub-parameter of the article set under a corresponding category according to the number of the articles and the corresponding relation between the number of the articles and the volume of the articles, wherein the load sub-parameter is used for representing the volume consumption of the article set to the storage device under the corresponding category, the corresponding relation is determined according to the number of the articles in the same category in a task combination and the volume of the storage device, and the task combination is the maximum combination of undelivered tasks which can be born by transport resources;

Determining a load parameter corresponding to the target task according to the load sub-parameters of the article set under each category;

wherein the determining the load parameter corresponding to the target task according to the load sub-parameters of the article set in each category includes:

2. The method of claim 1, wherein the correspondence of the number of items to the volume of items is obtained by:

3. The method of claim 2, wherein the correspondence of the number of items to the volume of items is further obtained by:

4. A method according to claim 3, wherein for the second category, determining the correspondence of the number of items to the volume of items from the volume of the storage device and the number of items of each second item comprises:

5. A method according to claim 3, wherein the correspondence of the number of items to the volume of items is further obtained by:

6. The method of claim 5, wherein for the third category, determining the correspondence of the number of items to the volume of items based on the volume of the storage device and the number of third items comprises:

7. The method of claim 5, wherein the method further comprises:

8. A load assessment device, the device comprising:

The sub-parameter determining unit is used for determining a load sub-parameter of the article set under a corresponding category according to the number of the articles and the corresponding relation between the number of the articles and the volume of the articles, wherein the load sub-parameter is used for representing the volume consumption of the article set to the storage device under the corresponding category, the corresponding relation is determined according to the number of the articles in the same category in the task combination and the volume of the storage device, and the task combination is the maximum combination of undelivered tasks which can be born by the fortune resource;

The parameter determining unit is used for determining a load parameter corresponding to the target task according to the load sub-parameters of the article set under each category;

Wherein the parameter determination unit is further configured to:

9. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any of claims 1-7.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, implements the method according to any of claims 1-7.