CN112257169A - Article distribution method and device, computer readable storage medium and electronic equipment - Google Patents

Article distribution method and device, computer readable storage medium and electronic equipment Download PDF

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CN112257169A
CN112257169A CN202011199892.4A CN202011199892A CN112257169A CN 112257169 A CN112257169 A CN 112257169A CN 202011199892 A CN202011199892 A CN 202011199892A CN 112257169 A CN112257169 A CN 112257169A
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article
placing
verified
type
determining
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CN112257169B (en
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田明哲
潘慈辉
胡亦朗
李林原
张申
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Seashell Housing Beijing Technology Co Ltd
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Beike Technology Co Ltd
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model

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Abstract

The embodiment of the disclosure discloses an article distribution method, an article distribution device, a computer-readable storage medium and electronic equipment. The method comprises the following steps: acquiring the type of an article meeting a preset article flowing condition; determining a plurality of single rooms matched with the type of the article in the house source; determining a placement priority order among the plurality of singles according to the type of the article; determining a target single room from the plurality of single rooms according to the type of the article, the placing priority order and the placing limit data of the plurality of single rooms; and adding articles of the article types to the placed article set between the target sheets. In the embodiment of the disclosure, for the type of the article meeting the preset article flow condition, the article of the article type is finally distributed to a reasonable article placing set through the determination of the plurality of places adapted to the article type, the determination of the placing priority order and the determination of the target place, so that the placing effect of the places and the whole house source can be improved.

Description

Article distribution method and device, computer readable storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of decoration design technologies, and in particular, to an article distribution method and apparatus, a computer-readable storage medium, and an electronic device.
Background
In the technical field of decoration design, it is often necessary to determine a set of placed articles for each room in a house source, and each article in the set of placed articles determined for any room is used for actually placing the articles in the room. It should be noted that in some cases, the set of placed items to which a part of the items are allocated (i.e., the set of placed items including the items) may not be reasonable, which may affect the placing effect of the single room or even the whole house source.
Disclosure of Invention
The present disclosure is proposed to solve the above technical problems. The embodiment of the disclosure provides an article distribution method and device, a computer-readable storage medium and an electronic device.
According to an aspect of an embodiment of the present disclosure, there is provided an article dispensing method including:
acquiring the type of an article meeting a preset article flowing condition;
determining a plurality of single rooms matched with the type of the object in the house source;
determining a placement priority order among the plurality of singles for the item type;
determining a target single room from the plurality of single rooms according to the type of the article, the placing priority order and the placing limit data of the plurality of single rooms;
and adding the articles of the article types to the placed article set between the target sheets.
In an optional example, the determining a target cell from the plurality of cells according to the item type, the placement priority order, and the placement limit data for each of the plurality of cells includes:
selecting the single room with the highest placing priority from the plurality of single rooms according to the placing priority sequence, and taking the selected single room as the single room to be verified;
judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and the placing limit data of the list to be verified;
taking the to-be-verified list room as a target list room under the condition that a preset allowable placing condition corresponding to the to-be-verified list room is met;
and under the condition that the preset placement permission condition corresponding to the single room to be verified is not satisfied, selecting the single room with the placement priority next to the single room to be verified from the multiple single rooms, updating the single room to be verified to the selected single room, and executing the step of judging whether the preset placement permission condition corresponding to the single room to be verified is satisfied again according to the type of the article and the placement limitation data of the single room to be verified.
In an optional example, the placement limit data of the sheets to be verified comprises a product of an effective area of the sheets to be verified and a preset placement ratio;
the step of judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and the placing limit data of the list to be verified comprises the following steps:
acquiring the floor area of a basic article of the article type;
calculating a first sum of the floor area of each existing article in the article set to be verified and the floor area of the basic article;
under the condition that the first sum is smaller than or equal to the product, determining that a preset allowable placing condition corresponding to the to-be-verified list is met; wherein the article of the article type added to the set of placed articles among the target sheets is the base article;
and under the condition that the first sum is larger than the product, judging whether a preset allowable placing condition corresponding to the to-be-verified sheet is met or not in a target judgment mode.
In an optional example, the determining, in a target determination manner, whether a preset placement permission condition corresponding to the to-be-verified sheet is satisfied includes:
judging whether the basic article has an alternative article;
under the condition that the basic article does not have the alternative article, determining that the preset allowable placing condition corresponding to the to-be-verified list is not met;
under the condition that the basic article has the alternative article, calculating a second sum of the floor area of each article in the article set to be verified and the floor area of the alternative article; under the condition that the second sum is smaller than or equal to the product, determining that a preset allowable placing condition corresponding to the to-be-verified list is met; wherein the article of the article type added to the set of placed articles among the target sheets is the alternative article; and under the condition that the second sum is larger than the product, determining that the preset allowable placing condition corresponding to the to-be-verified sheets is not met.
In an optional example, the determining a placement priority order among the plurality of singles for the item type includes:
acquiring respective adjacent inter-cell information of the plurality of inter-cells;
determining respective priority scores of the plurality of singles according to respective adjacent singles information of the plurality of singles;
determining a placement priority order among the plurality of singles for the item type according to the respective priority scores of the plurality of singles.
In one alternative example of this, the user may,
in the case that the priority scores of two of the plurality of single rooms are different, the placing priority of the single room with the higher priority score in the two single rooms is higher than the placing priority of the other single room in the two single rooms in the placing priority order;
in a case where the priority scores of two of the plurality of cells are the same, the placing priority order is higher for a cell with a larger area of the two cells than for another cell of the two cells.
In an alternative example, the determining the plurality of rooms in the house source that are adapted to the type of the item includes:
determining a recommended placing list room of the article types in the house source;
determining a list group having a preset position relation with the recommended placing list in the house source;
determining a plurality of singles in the house source, wherein the singles are matched with the type of the object; wherein, the plurality of single rooms comprise the recommended placing single room and each single room in the single room group.
In one alternative example of this, the user may,
in the placing priority sequence, the placing priority among the recommended placing lists is the highest, and the placing priority among the lists in the list group is associated with the arrival cost value between the recommended placing lists;
and/or the presence of a gas in the gas,
the single room group comprises single rooms communicated with the recommended placing single room through a virtual wall or a target bealock; and the target bealock is a bealock meeting a preset length condition.
According to another aspect of embodiments of the present disclosure, there is provided an article dispensing apparatus including:
the acquisition module is used for acquiring the type of the article meeting the preset article flowing condition;
the first determining module is used for determining a plurality of single rooms which are matched with the type of the object in the house source;
a second determining module, configured to determine a placement priority order among the plurality of sheets for the item type;
a third determining module, configured to determine a target cell from the plurality of cells according to the item type, the placement priority order, and respective placement limit data of the plurality of cells;
and the adding module is used for adding the articles of the article types to the placed article set among the target sheets.
In an optional example, the third determining module includes:
the first determining submodule is used for selecting the single room with the highest placing priority from the plurality of single rooms according to the placing priority sequence and taking the selected single room as the single room to be verified;
the judging submodule is used for judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and the placing limit data of the list to be verified;
the second determining submodule is used for taking the to-be-verified list as a target list under the condition that the preset allowable placing condition corresponding to the to-be-verified list is met;
and the third determining submodule is used for selecting the placing priority of the plurality of single spaces to be verified to be only next to the single space of the single spaces to be verified under the condition that the preset allowed placing condition corresponding to the single spaces to be verified is not satisfied, updating the single spaces to be verified to the selected single spaces, and triggering the judging submodule.
In an optional example, the placement limit data of the sheets to be verified comprises a product of an effective area of the sheets to be verified and a preset placement ratio;
the judgment submodule includes:
an acquisition unit configured to acquire a floor area of a base article of the article type;
the calculation unit is used for calculating a first sum of the floor area of each article in the article set to be verified and the floor area of the basic article;
the determining module is used for determining that the preset allowable placing condition corresponding to the to-be-verified sheet is met under the condition that the first sum is smaller than or equal to the product; wherein the article of the article type added to the set of placed articles among the target sheets is the base article;
and the judging unit is used for judging whether the preset allowable placing condition corresponding to the to-be-verified sheet is met or not in a target judging mode under the condition that the first sum is greater than the product.
In an optional example, the determining unit includes:
the judging subunit is used for judging whether the basic article has the alternative article;
the first determining subunit is used for determining that the preset allowable placing condition corresponding to the to-be-verified list is not met under the condition that the base article does not have the alternative article;
the second determining subunit is used for calculating a second sum of the floor area of each existing article in the article set to be verified and the floor area of the alternative article when the alternative article exists in the basic article; under the condition that the second sum is smaller than or equal to the product, determining that a preset allowable placing condition corresponding to the to-be-verified list is met; wherein the article of the article type added to the set of placed articles among the target sheets is the alternative article; and under the condition that the second sum is larger than the product, determining that the preset allowable placing condition corresponding to the to-be-verified sheets is not met.
In one optional example, the second determining module includes:
the acquisition submodule is used for acquiring the respective adjacent single-room information of the multiple single rooms;
a fourth determining submodule, configured to determine a priority score of each of the plurality of units according to adjacent inter-unit information of each of the plurality of units;
a fifth determining submodule, configured to determine, according to the respective priority scores of the multiple singles, a placement priority order among the multiple singles with respect to the item type.
In one alternative example of this, the user may,
in the case that the priority scores of two of the plurality of single rooms are different, the placing priority of the single room with the higher priority score in the two single rooms is higher than the placing priority of the other single room in the two single rooms in the placing priority order;
in a case where the priority scores of two of the plurality of cells are the same, the placing priority order is higher for a cell with a larger area of the two cells than for another cell of the two cells.
In one optional example, the first determining module comprises:
a sixth determining submodule, configured to determine recommended placement rooms for the item types in the house resources;
a seventh determining submodule, configured to determine a group of the rooms, in the house source, having a preset position relationship with the recommended placement room;
an eighth determining submodule, configured to determine a plurality of cells in the house source, where the cells are adapted to the type of the item; wherein, the plurality of single rooms comprise the recommended placing single room and each single room in the single room group.
In one alternative example of this, the user may,
in the placing priority sequence, the placing priority among the recommended placing lists is the highest, and the placing priority among the lists in the list group is associated with the arrival cost value between the recommended placing lists;
and/or the presence of a gas in the gas,
the single room group comprises single rooms communicated with the recommended placing single room through a virtual wall or a target bealock; and the target bealock is a bealock meeting a preset length condition.
According to still another aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium storing a computer program for executing the above-described item distribution method.
According to still another aspect of an embodiment of the present disclosure, there is provided an electronic device including:
a processor;
a memory for storing the processor-executable instructions;
the processor is used for reading the executable instructions from the memory and executing the instructions to realize the article distribution method.
In the embodiment of the disclosure, for the type of the article meeting the preset article flowing condition, a plurality of single rooms adapted to the house source can be determined, then the placing priority order of the plurality of single rooms is determined, then the target single room can be determined from the plurality of single rooms according to the type of the article, the placing priority order and the placing limit data of the plurality of single rooms, and the article of the type of the article is added to the placed article set in the target single room. It can be seen that, in the embodiment of the present disclosure, for the type of the article satisfying the preset article flow condition, through the determination of the plurality of units adapted to the type of the article, the determination of the placement priority order, and the determination of the target unit, the article of the type of the article is finally distributed to the reasonable article placement set, so that the overall placement effect of the unit and the house source can be improved.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail embodiments of the present disclosure with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a schematic flow chart diagram of an item distribution method according to an exemplary embodiment of the disclosure.
Fig. 2 is a schematic flow chart of an item distribution method according to another exemplary embodiment of the present disclosure.
Fig. 3 is one of the house layout diagrams in an exemplary embodiment of the present disclosure.
Fig. 4 is a second house type diagram in an exemplary embodiment of the present disclosure.
Fig. 5 is a third house type diagram in an exemplary embodiment of the present disclosure.
Fig. 6 is a fourth family diagram in an exemplary embodiment of the present disclosure.
Fig. 7 is a fifth family diagram in an exemplary embodiment of the present disclosure.
Fig. 8 is a sixth family diagram in an exemplary embodiment of the present disclosure.
Fig. 9 is a seventh illustration of a house graph in an exemplary embodiment of the disclosure.
Fig. 10 is a schematic structural view of an article dispensing device provided in an exemplary embodiment of the present disclosure.
Fig. 11 is a block diagram of an electronic device provided in an exemplary embodiment of the present disclosure.
Detailed Description
Hereinafter, example embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of the embodiments of the present disclosure and not all embodiments of the present disclosure, with the understanding that the present disclosure is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present disclosure are used merely to distinguish one element from another, and are not intended to imply any particular technical meaning, nor is the necessary logical order between them.
It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the disclosure, may be generally understood as one or more, unless explicitly defined otherwise or stated otherwise.
In addition, the term "and/or" in the present disclosure is only one kind of association relationship describing an associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.
It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
The disclosed embodiments may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Exemplary method
Fig. 1 is a schematic flow chart diagram of an item distribution method according to an exemplary embodiment of the disclosure. The method shown in fig. 1 includes step 101, step 102, step 103, step 104, and step 105, and each step is described below.
Step 101, obtaining the type of the article meeting the preset article flowing condition.
Here, that any article type satisfies the preset article flow condition may mean: the present item type of item is not limited to a particular one of the rooms in the source, but the present item type of item allows for flow between at least two rooms in the source.
It should be noted that the implementation form of obtaining the type of the article satisfying the preset article flowing condition is various, and the following description is given by way of example.
In one implementation form, the type of the article satisfying the preset article flow condition may be specified by a user (e.g., a homeowner), for example, the user may specify the type of the article satisfying the preset article flow condition as a bathtub type through a touch input manner or a voice input manner.
In another implementation, Artificial Intelligence (Artificial Intelligence) technology may be utilized to intelligently obtain user preferences from the user representation and automatically determine the type of the item satisfying the preset item flow conditions according to the user preferences, e.g., if the user likes makeup very much, the dressing table type may be automatically determined as the type of the item satisfying the preset item flow conditions.
In still another implementation form, the AI technology may be utilized to automatically determine the article type satisfying the preset article flow condition according to the basic requirement of the home life, for example, for the home life, a refrigerator and a washing machine are generally necessary, and then, the refrigerator type and the washing machine type may be automatically determined as the article type satisfying the preset article flow condition.
Step 102, a plurality of single rooms matched with the type of the object in the house source are determined.
It should be noted that the plurality of cells adapted to the type of the item acquired in step 101 may include each cell adapted to place the item of the type of the item acquired in step 101 in a normal case. In the case where the type of the item acquired in step 101 is a bathtub type, the plurality of cubicles adapted thereto may include individual toilets in the house source; in the case where the type of the item acquired in step 101 is a dresser type, the plurality of cubicles adapted thereto may include respective bedrooms in the house source; in the case where the type of the article acquired in step 101 is a washing machine type, the plurality of cubicles adapted thereto may include respective bathrooms and respective balconies in the house source.
And 103, determining a placing priority order among the plurality of lists according to the type of the article.
Here, the order of putting priority among the plurality of sheets may be specified by the user; alternatively, AI techniques can be utilized to intelligently determine placement priority order among multiple singles. Alternatively, the placement priority order may also be referred to as a placement flow order.
And 104, determining a target single room from the plurality of single rooms according to the type of the article, the placing priority order and the placing limit data of the plurality of single rooms.
Here, the placement limit data of any one of the plurality of sheets can be used to represent a placement limit condition for placing the articles between the sheets, and the placement limit condition can ensure that the sheets placed between the sheets are not too full, thereby satisfying the requirement of line movement between the sheets.
Here, according to the type of the article, the placement priority order, and the placement limit data of each of the plurality of cells, the most reasonable cell can be selected from the plurality of cells as the target cell according to the type of the article.
And 105, adding articles of the article types to the placed article set between the target lists.
Here, one set of placed items may be maintained in advance for each single room in the room source, each set of placed items is empty in the initial state, and then items may be added to each set of placed items according to the actual situation, for example, items required by the user may be added to the corresponding set of placed items according to the user instruction information, and in addition, items of the item type may be added to the placed items in the target single room as shown in step 105. When the actual object is placed at last, the object placing sets can be placed according to the final placing objects, and the object placing is performed between the corresponding single rooms in the house source, so that the objects of the object types can be placed between the target single rooms.
In the embodiment of the disclosure, for the type of the article meeting the preset article flowing condition, a plurality of single rooms adapted to the house source can be determined, then the placing priority order of the plurality of single rooms is determined, then the target single room can be determined from the plurality of single rooms according to the type of the article, the placing priority order and the placing limit data of the plurality of single rooms, and the article of the type of the article is added to the placed article set in the target single room. It can be seen that, in the embodiment of the present disclosure, for the type of the article satisfying the preset article flow condition, through the determination of the plurality of units adapted to the type of the article, the determination of the placement priority order, and the determination of the target unit, the article of the type of the article is finally distributed to the reasonable article placement set, so that the overall placement effect of the unit and the house source can be improved.
Fig. 2 is a schematic flow chart of an item distribution method according to another exemplary embodiment of the present disclosure. The method shown in fig. 2 includes step 201, step 202, step 203, step 204, step 205, step 206, step 207, and step 208, which are described below.
Step 201, acquiring the type of the article meeting the preset article flowing condition.
In step 202, a plurality of rooms matched with the type of the object in the house source are determined.
Step 203, determining a placing priority order among the plurality of sheets according to the type of the article.
It should be noted that, the specific implementation process of step 201 to step 203 may refer to the description of step 101 to step 103, and is not described herein again.
And 204, selecting the single room with the highest placing priority from the multiple single rooms according to the placing priority sequence, and taking the selected single room as the single room to be verified.
Here, the multiple singletons may be arranged in order of the placing priority from high to low, a singleton ordered at the top is selected from the multiple singletons, and the selected singleton is used as a singleton to be verified.
Step 205, judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and the placing limit data of the list to be verified; executing step 206 under the condition that the preset allowable placing condition corresponding to the list to be verified is met; otherwise, step 207 is executed and step 205 is executed again.
And step 206, taking the to-be-verified single room as a target single room.
And step 207, selecting the placing priority of the plurality of single rooms to be verified only next to the single room of the single room to be verified, and updating the single room to be verified into the selected single room.
In one embodiment, the placement limit data of the sheets to be verified includes a product of an effective area of the sheets to be verified and a preset placement ratio.
Considering that the gate area and the bealock area between the to-be-verified sheets generally cannot be used for placing articles, the effective area between the to-be-verified sheets may be the area of the total area between the to-be-verified sheets after the gate area and the bealock area are removed; the gate area is a square area formed by the length of a gate, and the bealock area is a rectangular area formed by the length of the bealock and the width of 500 millimeters.
Here, the preset placing proportion may be between 0 and 1, and may be set to 0.65 by counting a large amount of data related to manual placing.
Step 205 may include:
acquiring the floor area of a basic article of the article type;
calculating a first sum of the floor area of each existing article in the article set to be placed between the to-be-verified sheets and the floor area of the basic article;
under the condition that the first sum is smaller than or equal to the product, determining that a preset allowable placing condition corresponding to the list to be verified is met; wherein, the articles of the article types which are added to the article placing set among the target sheets are basic articles;
and under the condition that the first sum is greater than the product, judging whether the preset allowable placing condition corresponding to the list to be verified is met or not in a target judgment mode.
Here, the footprint of the base article of the article type may be obtained first. It should be noted that the basic item of the item type may be determined by a big data method, and the size information of the item type used by most households may be recorded in advance, for example, most households use a Y-model bathtub produced by an X manufacturer, and the basic item of the bathtub type may be a Y-model bathtub produced by an X manufacturer. In addition, the floor space of the base article needs to be considered with respect to the length and width margins.
Next, the sum of the floor area of each existing article in the set of placed articles between the sheets to be verified and the floor area of the base article can be calculated, and the sum can be used as the first sum. The first sum may then be compared to the product.
If the first sum is smaller than or equal to the product, it is indicated that even if the basic objects are placed between the sheets to be verified, sufficient space allowance exists between the sheets to be verified, and the sheets to be verified are not too crowded, so that it can be determined that the preset allowable placing conditions corresponding to the sheets to be verified are met, and then the sheets to be verified can be used as target sheets, and then the basic objects can be placed between the sheets to be verified subsequently.
If the first sum is greater than the product, this indicates that once the basic article is placed between the sheets to be verified, the sheets to be verified are too crowded, and then whether the preset allowable placing condition corresponding to the sheets to be verified is met or not can be judged by using a target judgment mode.
Optionally, the determining, in a target determination manner, whether a preset allowable placement condition corresponding to the to-be-verified sheet is satisfied includes:
judging whether the basic article has an alternative article;
under the condition that the basic article does not have the alternative article, determining that the preset allowable placing condition corresponding to the to-be-verified list is not met;
under the condition that the basic article has the alternative article, calculating a second sum of the floor area of each article in the article set to be verified and the floor area of the alternative article; determining that the preset allowable placing condition corresponding to the to-be-verified sheet is met under the condition that the second sum is smaller than or equal to the product; wherein, the articles of the article types which are added to the article placing set among the target sheets are alternative articles; and under the condition that the second sum is larger than the product, determining that the preset allowable placing condition corresponding to the to-be-verified sheet is not met.
It should be noted that the alternative items of the base item may be: the same article type as the base article but used less extensively than the base article, and the overall size of the alternative article may be smaller than the base article. For example, where the base item of the bathtub type is a Y-model bathtub produced by an X manufacturer, the alternative item of the bathtub type base item may be a Z-model bathtub produced by an X manufacturer, the overall size of which is smaller than the Y-model bathtub produced by an X manufacturer. Specifically, if the base article is bed2 shown in table 1 below, the alternative article may be bedl shown in table 1 below; if the base item is bed1 shown in Table 1 below, the alternative item may be the children _ bed shown in Table 1 below.
Figure BDA0002753672620000121
TABLE 1
Here, it may be judged whether the base article has an alternative article. If the base article does not have the alternative article, the preset allowable placing condition corresponding to the to-be-verified list can be directly determined to be not met, and then the article of the article type cannot be placed in the to-be-verified list subsequently. If the basic article has the alternative articles, the sum of the floor area of each article in the placed article set among the to-be-verified sheets and the floor area of the alternative article can be calculated, and the sum can be used as a second sum. The second sum may then be compared to the product.
If the second sum is smaller than or equal to the product, this indicates that even if the alternative items are placed between the sheets to be verified, sufficient space margin still exists between the sheets to be verified, and the sheets to be verified are not too crowded, so that it can be determined that the preset allowable placing conditions corresponding to the sheets to be verified are met, and then the sheets to be verified can be used as target sheets, and then the alternative items can be placed between the sheets to be verified subsequently.
If the second sum is greater than the product, this indicates that once the alternative items are placed between the sheets to be verified, the sheets to be verified are too crowded, and therefore, it can be directly determined that the preset allowable placing condition corresponding to the sheets to be verified is not met, and then, the items of the item types cannot be placed in the sheets to be verified subsequently.
Of course, the implementation manner of determining whether the preset allowable placement condition corresponding to the sheets to be verified is satisfied in the target determination manner is not limited to this, for example, operations related to the alternative articles may not be introduced, and in the case that the first sum is greater than the product, it may be directly determined that the preset allowable placement condition corresponding to the sheets to be verified is not satisfied, which is also feasible.
It should be noted that, in the case that the preset placement permission condition corresponding to the to-be-verified list is not satisfied, the to-be-verified list may be updated to determine whether the updated preset placement permission condition corresponding to the to-be-verified list is satisfied, and the subsequent process is similar to the previous process and is not described herein again.
Therefore, based on the occupied area of the basic objects of the object types, the occupied area of the objects which are concentrated in the placed objects among the to-be-verified lists and the product, whether the preset allowable placing conditions corresponding to the to-be-verified lists are met or not can be judged conveniently and reliably, and the finally determined target lists cannot be too crowded due to the placement of the objects of the object types, so that the placing effect can be well guaranteed.
And step 208, adding articles of the article types to the placed article set among the target lists.
It should be noted that, the specific implementation process of step 208 refers to the description of step 105, and is not described herein again.
It can be seen that on the basis of the embodiment shown in fig. 1, in the embodiment shown in fig. 2, the flow of the articles can be performed according to the placing priority order until the most reasonable placing room is found for the article type meeting the preset article flow condition, so that the placing effect can be better ensured. In addition, when the target judgment mode is used, whether basic articles can be placed in the single room with high placing priority can be preferentially tried, whether alternative articles can be placed in the single room with high placing priority can be tried, and whether basic articles can be placed in the single room with low placing priority can be tried, so that the basic articles can be placed in the single room with high placing priority as far as possible, and the placing reasonability can be further guaranteed.
In one optional example, determining a placement priority order among the plurality of singlets for the item type includes:
acquiring respective adjacent inter-cell information of a plurality of inter-cells;
determining respective priority scores of the multiple singles according to respective adjacent singles information of the multiple singles;
and determining the placing priority order among the plurality of the units according to the respective priority scores among the plurality of the units and aiming at the type of the article.
It should be noted that the placing priority order determination method herein may be applied to the case where the article type is a toilet table type, a bathtub type, or a washing machine type.
Here, the adjacent cell information of any one of the plurality of cells may be used to indicate a cell type of an adjacent cell among the cells.
The following priority score calculation rules may be preset in the embodiments of the present disclosure:
(1) the priority score of the bedroom adjacent to the toilet is 2, the priority score of the bedroom adjacent to the cloakroom is 1, and the priority score of the bedroom adjacent to other single rooms is 0;
(2) the priority score of the balcony adjacent to the kitchen is 7, the priority score of the balcony adjacent to the toilet is 6.5, the priority score of the balcony adjacent to the living room or the entrance hall is 6, the priority score of the balcony adjacent to the bedroom in which the person is not lying is 4, the priority score of the balcony adjacent to the dining room is 2.5, the priority score of the balcony adjacent to the main bedroom is 0.5, and the priority score of the balcony adjacent to other rooms is 0;
(3) the priority score of the bathroom adjacent to the bedroom is 2, the priority score of the bathroom adjacent to the balcony is 1, and the score of the bathroom adjacent to the other cubicles may be 0.
According to the adjacent single-room information of each of the multiple single rooms and the priority score calculation rule, the priority score of each of the multiple single rooms can be calculated conveniently and reliably. Next, a placement priority order among the plurality of singles may be determined for the item type according to the respective priority scores among the plurality of singles.
Optionally, in a case where priority scores of two of the plurality of cells are different, a cell with a higher priority score among the two cells in the placement priority order is higher than a placement priority of another cell among the two cells;
in the case where the priority scores of two of the plurality of cells are the same, the placement priority of the cell having a larger area (the area is referred to as the actual area) among the two cells is higher than the placement priority of the other cell among the two cells in the placement priority order.
It should be noted that, when determining the placement priority order of a plurality of single rooms, the placement priority of the single room having the higher priority score is higher, and for any two single rooms having the same priority score, the placement priority of the single room having the larger area among them may be determined to be higher.
In a specific example, the house type diagram shown in fig. 3 may be analyzed, and it is easily seen that, when the priority score of the bedroom a is 2, the priority score of the bedroom B is 0, the priority score of the bedroom C is 0, and the area of the bedroom B is larger than the area of the bedroom C, it may be determined that, of the bedrooms a to the bedroom C, the placement priority of the bedroom a is the highest, and the placement priority of the bedroom C is the lowest, and then the placement flow order of the dressing tables may be: bedroom A- > bedroom B- > bedroom C. That is, if the movement of the toilet tables between the bedrooms is required, the dressing table is preferentially tried to be placed in the bedroom a, the dressing table is tried to be placed in the bedroom B when the dressing table cannot be placed in the bedroom a, and the dressing table is tried to be placed in the bedroom C when the dressing table cannot be placed in the bedroom B.
By analyzing the house type diagram shown in fig. 3, it can be seen that the priority score of the toilet B is 1, and the priority score of the toilet a is 0, so that the placement priority of the toilet B is higher, and the placement flow sequence of the bathtubs may be: toilet B- > toilet A.
By analyzing the house type chart shown in fig. 3, it can be seen that the priority score of balcony B is 7.0, the priority score of balcony a is 0.5, then the placement priority of balcony B is higher, and then the placement flow sequence of the washing machine can be: balcony B- > balcony A.
Alternatively, in some other cases, the placing flow sequence of the washing machine may also be: kitchen balcony- > secondary bathroom- > main balcony- > life balcony (non-main lying) - > main bathroom- > life balcony (main lying).
Therefore, in the embodiment of the disclosure, the placing priority order among the multiple sheets can be reasonably and reliably determined based on the respective adjacent sheet information among the multiple sheets and by combining the areas of the multiple sheets.
In an alternative example, determining a plurality of singletons in a house source that fit the type of item includes:
determining recommended placing lists of the types of the articles in the house resources;
determining a list group with a preset position relation with a recommended placing list in the house source;
determining a plurality of single rooms matched with the type of the article in the house source; wherein, the plurality of single rooms comprise recommended placing single rooms and each single room in the single room group.
It should be noted that the manner of determining the plurality of rooms in the house source adapted to the type of the article may be applied to the case that the type of the article is a dresser type, a refrigerator type, a wardrobe type, or the like.
In the embodiment of the disclosure, the recommended placing list room of the article types in the house source can be determined firstly. Specifically, under the condition that the type of the article is a dressing table type or a wardrobe type, the recommended placing room can be a master bedroom; in the case where the article type is a refrigerator type, the recommended placing room may be a kitchen.
Next, a list group having a preset positional relationship with the recommended placing list in the house source can be determined. It should be noted that there are many different situations that exist in a single cell group.
In one case, the set of singlets may include only the singlets adjacent to the recommended placed singlets. Specifically, in the case where the recommended placing single room is a master bedroom (e.g., the bedroom in fig. 4 or 5), the group of single rooms having a preset positional relationship with the recommended placing single room may include a balcony adjacent to the master bedroom, and a cloakroom adjacent to the master bedroom.
In another case, the set of cells may include cells adjacent to the recommended placed cell, and cells adjacent to the cell adjacent to the recommended placed cell. Specifically, in the case where the recommended place list room is a kitchen (e.g., the kitchen in fig. 6), the list room group having a preset positional relationship with the recommended place list room may include a balcony connected to the kitchen, a restaurant connected to the kitchen, a balcony connected to the restaurant, and a living room adjacent to the restaurant.
Optionally, in the another case, in the placing priority order, the placing priority between the recommended placing orders is the highest, and the placing priority between each of the orders in the order group is associated with the arrival cost value between the recommended placing orders. Here, the arrival cost value may be inversely related to the distance, for example, the arrival cost value may be characterized by an inverse of the distance. Thus, taking fig. 6 as an example, the placing priority order of the refrigerator types may be: the refrigerator can be placed to the position as close to the kitchen as possible by setting the placing priority sequence according to the action line, so that the refrigerator can be conveniently used by a user as much as possible.
In another case, the single room group may include each single room communicated with the recommended placing single room through a virtual wall or a target bealock; and the target bealock is the bealock meeting the preset length condition. Here, that any bealock satisfies the preset length condition may mean: the bealock length of the bealock is 0.85 times of the length of the wall body where the bealock is located. Specifically, in the case where the recommended placing list is a restaurant in fig. 7, the list group having a preset positional relationship with the recommended placing list may include a living room in fig. 7 (a virtual line between the living room and the restaurant is a virtual wall); in the case where the recommended placed list room is the living room in fig. 8, the group of the list rooms having a predetermined positional relationship with the recommended placed list room may include the living room in fig. 8. It can be seen that in this case, the allocation of items can be done jointly through virtual walls or between singles that are connected by the target bealock.
Then, a plurality of rooms matched with the type of the article in the house source can be determined, and the determined rooms can comprise recommended placing rooms and the rooms in the room group.
Therefore, in the embodiment of the disclosure, the plurality of rooms matched with the article types can be determined conveniently, quickly and reliably based on the recommended placing rooms of the article types in the house resources.
In an alternative example, as shown in fig. 9, the base item and the candidate item may be predetermined for each item type. For the types of articles meeting the preset article flow condition, Priority (Priority) determination can be performed on the plurality of units to which the types of articles are adapted, so as to obtain corresponding placement Priority attributes. Next, the flow of articles between singles of the same type may be controlled, the flow of articles between adjacent singles may be controlled, and the flow of articles between singles communicated by virtual walls or target beaks may be controlled. In addition, the articles can be distributed aiming at the bedroom, the balcony, the clothes and hat room and the like in a combined mode, so that the bedroom has enough space for placing equipment relevant to the interests and hobbies of the user, such as fitness equipment, music equipment and the like.
It can be seen that the embodiment of the present disclosure fully considers the distribution situation of the units in the household type diagram, controls the distribution and directional flow of the articles by setting a way of calculating the priority, can distribute all the articles to the best units as much as possible and meet the placement requirements (which correspond to the placement limitation data), and simultaneously considers the relationship between the units and the adjacent units as much as possible to ensure the convenient use of the articles, meet the requirement of line moving and the completeness of functions.
Any of the item distribution methods provided by embodiments of the present disclosure may be performed by any suitable device having data processing capabilities, including but not limited to: terminal equipment, a server and the like. Alternatively, any of the item distribution methods provided by the embodiments of the present disclosure may be executed by a processor, such as the processor executing any of the item distribution methods mentioned by the embodiments of the present disclosure by calling corresponding instructions stored in a memory. And will not be described in detail below.
Exemplary devices
Fig. 10 is a schematic structural diagram of an item distribution apparatus provided in an exemplary embodiment of the present disclosure, and the apparatus shown in fig. 10 includes an obtaining module 1001, a first determining module 1002, a second determining module 1003, a third determining module 1004, and an adding module 1005.
An obtaining module 1001 configured to obtain an article type that meets a preset article flow condition;
a first determining module 1002, configured to determine a plurality of rooms in the house source, where the rooms are adapted to the type of the item;
a second determining module 1003, configured to determine, for the item type, a placement priority order among the multiple units;
a third determining module 1004, configured to determine a target cell from the plurality of cells according to the type of the item, the placement priority order, and the placement limit data of each of the plurality of cells;
an adding module 1005, configured to add an article of an article type to the set of placed articles between the target sheets.
In an alternative example, the third determining module 1004 includes:
the first determining submodule is used for selecting the single room with the highest placing priority from the plurality of single rooms according to the placing priority sequence, and taking the selected single room as the single room to be verified;
the judging submodule is used for judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and placing limit data of the list to be verified;
the second determining submodule is used for taking the to-be-verified single room as a target single room under the condition that the corresponding preset allowable placing condition of the to-be-verified single room is met;
and the third determining submodule is used for selecting the placing priority of the plurality of single spaces to be next to the single space of the single space to be verified under the condition that the preset allowable placing condition corresponding to the single space to be verified is not satisfied, updating the single space to be verified into the selected single space, and triggering the judging submodule.
In an optional example, the placement limit data of the sheets to be verified comprises a product of an effective area of the sheets to be verified and a preset placement ratio;
a judgment submodule comprising:
an acquisition unit for acquiring a floor area of a base article of an article type;
the calculation unit is used for calculating a first sum of the floor area of each article in the article set to be verified and the floor area of the basic article;
the determining module is used for determining that the preset allowable placing condition corresponding to the list to be verified is met under the condition that the first sum is smaller than or equal to the product; wherein, the articles of the article types which are added to the article placing set among the target sheets are basic articles;
and the judging unit is used for judging whether the preset allowable placing condition corresponding to the list to be verified is met or not in a target judging mode under the condition that the first sum is greater than the product.
In an alternative example, the determining unit includes:
the judging subunit is used for judging whether the basic article has the alternative article;
the first determining subunit is used for determining that the preset allowable placing condition corresponding to the to-be-verified list is not met under the condition that the base article does not have the alternative article;
the second determining subunit is used for calculating a second sum of the floor area of each existing article in the article placing set among the to-be-verified sheets and the floor area of the alternative article under the condition that the alternative article exists in the basic article; determining that the preset allowable placing condition corresponding to the to-be-verified sheet is met under the condition that the second sum is smaller than or equal to the product; wherein, the articles of the article types which are added to the article placing set among the target sheets are alternative articles; and under the condition that the second sum is larger than the product, determining that the preset allowable placing condition corresponding to the to-be-verified sheet is not met.
In an optional example, the second determining module 1003 includes:
the acquisition submodule is used for acquiring the respective adjacent single-room information of the multiple single rooms;
the fourth determining submodule is used for determining the priority scores of the multiple singles according to the adjacent singles of the multiple singles;
and the fifth determining submodule is used for determining the placing priority order among the plurality of the units according to the respective priority scores among the plurality of the units and aiming at the type of the article.
In one alternative example of this, the user may,
under the condition that the priority grades of two single rooms in the multiple single rooms are different, in the placing priority order, the placing priority grade of the single room with the higher priority grade in the two single rooms is higher than the placing priority grade of the other single room in the two single rooms;
when the priority scores of two of the plurality of single rooms are the same, the placing priority of the single room with the larger area in the two single rooms is higher than the placing priority of the other single room in the two single rooms in the placing priority order.
In an alternative example, the first determining module 1002 includes:
a sixth determining submodule, configured to determine recommended placement rooms for the types of the items in the house resources;
the seventh determining submodule is used for determining a list group which has a preset position relation with the recommended placing list in the house source;
the eighth determining submodule is used for determining a plurality of single rooms matched with the type of the article in the house source; wherein, the plurality of single rooms comprise recommended placing single rooms and each single room in the single room group.
In one alternative example of this, the user may,
in the placing priority sequence, the placing priority among the recommended placing lists is the highest, and the placing priority among the lists in the list group is associated with the arrival cost value between the recommended placing lists;
and/or the presence of a gas in the gas,
the single room group comprises single rooms which are communicated with the recommended placing single rooms through a virtual wall or a target bealock; and the target bealock is the bealock meeting the preset length condition.
Exemplary electronic device
Next, an electronic apparatus according to an embodiment of the present disclosure is described with reference to fig. 11. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom.
Fig. 11 illustrates a block diagram of an electronic device 1100 in accordance with an embodiment of the disclosure.
As shown in fig. 11, the electronic device 1100 includes one or more processors 1101 and memory 1102.
The processor 1101 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 1100 to perform desired functions.
Memory 1102 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by the processor 1101 to implement the item distribution methods of the various embodiments of the present disclosure described above and/or other desired functions. Various contents such as an input signal, a signal component, a noise component, etc. may also be stored in the computer-readable storage medium.
In one example, the electronic device 1100 may further include: an input device 1103 and an output device 1104, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
For example, when the electronic device 1100 is a first device or a second device, the input device 1103 may be a microphone or an array of microphones. When the electronic device 1100 is a stand-alone device, the input means 1103 may be a communication network connector for receiving the acquired input signals from the first device and the second device.
The input device 1103 may also include, for example, a keyboard, a mouse, and the like.
The output device 1104 can output various kinds of information to the outside. The output devices 1104 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device 1100 relevant to the present disclosure are shown in fig. 11, omitting components such as buses, input/output interfaces, and the like. In addition, electronic device 1100 may include any other suitable components depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method of item allocation according to the various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in an item distribution method according to various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.

Claims (10)

1. A method of dispensing items, comprising:
acquiring the type of an article meeting a preset article flowing condition;
determining a plurality of single rooms matched with the type of the object in the house source;
determining a placement priority order among the plurality of singles for the item type;
determining a target single room from the plurality of single rooms according to the type of the article, the placing priority order and the placing limit data of the plurality of single rooms;
and adding the articles of the article types to the placed article set between the target sheets.
2. The method of claim 1, wherein said determining a target cell from said plurality of cells based on said item type, said placement priority order, and placement limit data for each of said plurality of cells comprises:
selecting the single room with the highest placing priority from the plurality of single rooms according to the placing priority sequence, and taking the selected single room as the single room to be verified;
judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and the placing limit data of the list to be verified;
taking the to-be-verified list room as a target list room under the condition that a preset allowable placing condition corresponding to the to-be-verified list room is met;
and under the condition that the preset placement permission condition corresponding to the single room to be verified is not satisfied, selecting the single room with the placement priority next to the single room to be verified from the multiple single rooms, updating the single room to be verified to the selected single room, and executing the step of judging whether the preset placement permission condition corresponding to the single room to be verified is satisfied again according to the type of the article and the placement limitation data of the single room to be verified.
3. The method according to claim 2, wherein the placement limit data of the sheets to be verified comprises a product of an effective area of the sheets to be verified and a preset placement ratio;
the step of judging whether a preset allowable placing condition corresponding to the list to be verified is met or not according to the type of the article and the placing limit data of the list to be verified comprises the following steps:
acquiring the floor area of a basic article of the article type;
calculating a first sum of the floor area of each existing article in the article set to be verified and the floor area of the basic article;
under the condition that the first sum is smaller than or equal to the product, determining that a preset allowable placing condition corresponding to the to-be-verified list is met; wherein the article of the article type added to the set of placed articles among the target sheets is the base article;
and under the condition that the first sum is larger than the product, judging whether a preset allowable placing condition corresponding to the to-be-verified sheet is met or not in a target judgment mode.
4. The method according to claim 3, wherein the determining whether the preset placement allowing condition corresponding to the to-be-verified sheet is satisfied in a target determination manner comprises:
judging whether the basic article has an alternative article;
under the condition that the basic article does not have the alternative article, determining that the preset allowable placing condition corresponding to the to-be-verified list is not met;
under the condition that the basic article has the alternative article, calculating a second sum of the floor area of each article in the article set to be verified and the floor area of the alternative article; under the condition that the second sum is smaller than or equal to the product, determining that a preset allowable placing condition corresponding to the to-be-verified list is met; wherein the article of the article type added to the set of placed articles among the target sheets is the alternative article; and under the condition that the second sum is larger than the product, determining that the preset allowable placing condition corresponding to the to-be-verified sheets is not met.
5. The method of claim 1, wherein said determining a placement priority order among said plurality of singles for said item type comprises:
acquiring respective adjacent inter-cell information of the plurality of inter-cells;
determining respective priority scores of the plurality of singles according to respective adjacent singles information of the plurality of singles;
determining a placement priority order among the plurality of singles for the item type according to the respective priority scores of the plurality of singles.
6. The method of claim 5,
in the case that the priority scores of two of the plurality of single rooms are different, the placing priority of the single room with the higher priority score in the two single rooms is higher than the placing priority of the other single room in the two single rooms in the placing priority order;
in a case where the priority scores of two of the plurality of cells are the same, the placing priority order is higher for a cell with a larger area of the two cells than for another cell of the two cells.
7. The method of claim 1, wherein determining the plurality of singletons in the source that fit the item type comprises:
determining a recommended placing list room of the article types in the house source;
determining a list group having a preset position relation with the recommended placing list in the house source;
determining a plurality of singles in the house source, wherein the singles are matched with the type of the object; wherein, the plurality of single rooms comprise the recommended placing single room and each single room in the single room group.
8. An article dispensing device, comprising:
the acquisition module is used for acquiring the type of the article meeting the preset article flowing condition;
the first determining module is used for determining a plurality of single rooms which are matched with the type of the object in the house source;
a second determining module, configured to determine a placement priority order among the plurality of sheets for the item type;
a third determining module, configured to determine a target cell from the plurality of cells according to the item type, the placement priority order, and respective placement limit data of the plurality of cells;
and the adding module is used for adding the articles of the article types to the placed article set among the target sheets.
9. A computer-readable storage medium, in which a computer program is stored, characterized in that the computer program is adapted to perform the item distribution method of any of the preceding claims 1 to 7.
10. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the item dispensing method of any one of claims 1 to 7.
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