CN112257550A - Article assembly assisting method, apparatus, system and storage medium - Google Patents

Article assembly assisting method, apparatus, system and storage medium Download PDF

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CN112257550A
CN112257550A CN202011119134.7A CN202011119134A CN112257550A CN 112257550 A CN112257550 A CN 112257550A CN 202011119134 A CN202011119134 A CN 202011119134A CN 112257550 A CN112257550 A CN 112257550A
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assembly
target
space
article
assembled
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陈敬涛
王俊
王亚东
申作军
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Beijing Jingdong Shangke Information Technology Co Ltd
Beijing Wodong Tianjun Information Technology Co Ltd
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Beijing Jingdong Shangke Information Technology Co Ltd
Beijing Wodong Tianjun Information Technology Co Ltd
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    • G06Q10/00—Administration; Management
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    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders

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Abstract

The disclosure provides an article assembly assisting method, device and system and a storage medium, and relates to the technical field of logistics. The article assembly assisting method of the present disclosure includes: acquiring the bearing capacity of a space to be assembled; acquiring assembly parameters of each article to be assembled, wherein the assembly parameters comprise shape, size and weight; according to the bearing capacity of the space and the assembly parameters of the articles, selecting target articles and planning the space according to a preset assembly target, and determining an assembly scheme, wherein the assembly scheme comprises the target assembly articles and target positions of all the target assembly articles; the assembly plan is provided to an implementer for performing the assembly of the item in accordance with the assembly plan. By the method, article selection and space planning can be performed before article assembly is performed, a reasonable assembly scheme is generated and used as guidance for subsequent assembly, subsequent repeated loading and unloading or adjustment is avoided, and assembly efficiency is improved.

Description

Article assembly assisting method, apparatus, system and storage medium
Technical Field
The disclosure relates to the field of logistics technology, and in particular to an article assembly assisting method, an article assembly assisting device, an article assembly assisting system and a storage medium.
Background
In the logistics and supply chain management process, the space utilization of vehicle assembly is always a great problem, and the condition of no load often occurs, so that the logistics transportation cost is wasted. During the process of loading and vehicle space planning, the optimal space utilization is completed mainly based on manual experience or multiple loading and unloading adjustments during field operation.
Disclosure of Invention
One object of the present disclosure is to improve assembly efficiency.
According to an aspect of some embodiments of the present disclosure, there is provided an article assembling assisting method including: acquiring the bearing capacity of a space to be assembled; acquiring assembly parameters of each article to be assembled, wherein the assembly parameters comprise shape, size and weight; according to the bearing capacity of the space and the assembly parameters of the articles, selecting target articles and planning the space according to a preset assembly target, and determining an assembly scheme, wherein the assembly scheme comprises the target assembly articles and target positions of all the target assembly articles; the assembly plan is provided to an implementer for performing the assembly of the item in accordance with the assembly plan.
In some embodiments, the predetermined assembly goals include highest space utilization, highest load utilization, or highest amount of bearing value.
In some embodiments, determining the assembly scenario where the predetermined assembly objective is a highest amount of bearing value comprises: selecting a set of target assembly articles which do not exceed the bearing capacity of the space to be assembled and have the highest sum of value and quantity from the articles to be assembled, wherein the bearing capacity comprises the load capacity and the size of the load space, and the assembly parameters also comprise the value and quantity of the articles; and executing space planning according to the bearing capacity and the assembly parameters of each object, and acquiring the target position of each target assembly object.
In some embodiments, selecting the set of target assembled items from the items to be assembled that do not exceed the load-bearing capacity of the space to be assembled and for which the sum of the value amounts is highest includes: acquiring a candidate target assembly item set when each item to be assembled is set to be in a candidate assembly or non-candidate assembly state respectively; screening out a candidate target assembly item set which does not exceed the bearing capacity according to the assembly parameters of the items in each candidate target assembly item set; and determining a set with the largest sum of the value quantities in the candidate target assembly item set according to the value quantities of all the items, and using the set as the target assembly item set.
In some embodiments, providing the assembly protocol to the practitioner comprises: generating graphical information according to the assembly scheme, wherein the graphical information comprises an assembly simulation image or an infrared grid projection image; and sending the graphical information to a display device.
In some embodiments, displaying the graphical information through the target display device comprises: the graphical information is projected to a wall of the space to be assembled or to the terminal of the performer.
In some embodiments, the space to be assembled comprises a vehicle load carrying space, and obtaining the load carrying capacity of the space to be assembled comprises: acquiring the vehicle type of a vehicle to be assembled; and determining the bearing capacity of the space to be assembled according to the corresponding relation between the vehicle type and the vehicle load space.
In some embodiments, obtaining assembly parameters for each item to be assembled comprises: acquiring article information input by a user through a WMS (Wireless Management System); and determining assembly parameters according to the article information input by the user.
By the method, article selection and space planning can be performed before article assembly is performed, a reasonable assembly scheme is generated and used as guidance for subsequent assembly, subsequent repeated loading and unloading or adjustment is avoided, and assembly efficiency is improved.
According to an aspect of some embodiments of the present disclosure, there is provided an article mounting aid comprising: the bearing capacity acquisition module is configured to acquire the bearing capacity of a space to be assembled; the assembling parameter acquiring module is configured to acquire assembling parameters of each article to be assembled, and the assembling parameters comprise shape, size and weight; the object selection and planning module is configured to select and plan a target object according to a preset assembly target according to the bearing capacity of the space and the assembly parameters of the object, and determine an assembly scheme, wherein the assembly scheme comprises the target assembly object and target positions of the target assembly objects; an output module configured to provide the assembly plan to an implementer for performing the assembly of the item in accordance with the assembly plan.
According to an aspect of some embodiments of the present disclosure, there is provided an article mounting aid comprising: a memory; and a processor coupled to the memory, the processor configured to perform any of the above item assembly assist methods based on instructions stored in the memory.
The device can select the articles and plan the space before assembling the articles, generates a reasonable assembling scheme as a guide for subsequent assembling, avoids subsequent repeated loading and unloading or adjustment, and improves the assembling efficiency.
According to an aspect of some embodiments of the present disclosure, a computer-readable storage medium is proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the steps of any of the above article assembly assisting methods.
By executing the instructions on the storage medium, article selection and space planning can be performed before article assembly is performed, a reasonable assembly scheme is generated and used as guidance for subsequent assembly, subsequent repeated assembly and disassembly or adjustment is avoided, and assembly efficiency is improved.
According to an aspect of some embodiments of the present disclosure, there is provided an article assembling assist system including: any one of the above article assembly aids; and a display device configured to receive and display information from the article mounting assist device.
In some embodiments, the information output by the item assembly aid is graphical information generated according to an assembly strategy, the graphical information comprising an assembly simulation image or an infrared grid projection image; the display device is a user terminal with a screen or an infrared projection device.
The article assembly auxiliary system can select articles and plan space before performing article assembly to generate a reasonable assembly scheme, and displays the reasonable assembly scheme to an assembler through the display device, so that the assembly is convenient to perform according to the assembly scheme, the assembly difficulty is reduced, subsequent repeated assembly and disassembly or adjustment is avoided, and the assembly efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a flow chart of some embodiments of an item assembly assist method of the present disclosure.
Fig. 2 is a flow chart of further embodiments of an article assembly assist method of the present disclosure.
Fig. 3 is a flow chart of further embodiments of the article assembly assist method of the present disclosure.
Fig. 4 is a schematic view of some embodiments of an article assembly aid of the present disclosure.
Fig. 5 is a schematic view of further embodiments of an article assembly aid of the present disclosure.
Fig. 6 is a schematic view of still further embodiments of an article assembly aid of the present disclosure.
Fig. 7 is a schematic view of some embodiments of an item assembly assist system of the present disclosure.
Detailed Description
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
The inventor finds that when the types and the shapes of the articles (large, small and extra-small) are relatively integrated, the assembly process mainly depends on manual experience, the utilization of space is completed through the cooperation between loading and unloading workers, the assembly process needs to be adjusted and repeatedly loaded and unloaded for many times, the production efficiency is low, and the risk of article damage is increased.
A flow diagram of some embodiments of an article assembly assistance method of the present disclosure is shown in fig. 1.
In step 101, the carrying capacity of the space to be assembled is obtained. In some embodiments, the load carrying capacity may include a load carrying capacity and a size of the load carrying space. In some embodiments, the space to be fitted may be a warehouse or a vehicle. Under the condition that the space to be assembled is a vehicle, the incidence relation between the model of the vehicle and the bearing capacity can be prestored, and the bearing capacity is obtained according to the model of the vehicle to be assembled.
In step 102, assembly parameters of each article to be assembled are obtained, the assembly parameters including shape, size and weight. In some embodiments, the assembly parameters may also include a value amount of the item.
In some embodiments, the amount of value of the item may be positively correlated with one or more of the price, profit, or urgency of delivery of the item.
In some embodiments, the assembly parameters of the item may be obtained using a WMS system that includes information about the item entered by the user, such as volume data, weight data, and the like. The WMS system can judge the grade of the article according to the information input by the user, such as the article belongs to a large article, a medium article or a small article, and stores the articles in a classified manner. The information stored in the WMS system may serve as a data basis for obtaining assembly parameters for the item.
In some embodiments, the step 101 and the step 102 are not sequential, and may be performed in any order.
In step 103, according to the bearing capacity of the space and the assembly parameters of the articles, the target article selection and the space planning are performed according to the preset assembly target, and the assembly scheme is determined, wherein the assembly scheme comprises the target assembly articles and the target positions of the target assembly articles.
In some embodiments, the predetermined assembly goals include highest space utilization, highest load utilization, or highest amount of bearing value. In some embodiments, parameter adjustment may be performed according to circumstances, such as adjusting a predetermined assembly target, so as to output an assembly plan meeting the requirements of the user.
In some embodiments, the target assembly items may be selected within the bearing capacity range of the space, and the space planning may be further performed to obtain the placement positions of the respective items, thereby generating the assembly scheme.
In step 104, the assembly plan is provided to the practitioner for performing the assembly of the item according to the assembly plan. In some embodiments, the assembly protocol may be provided graphically to provide intuitive assembly assistance information to the practitioner.
By the method, article selection and space planning can be performed before article assembly is performed, a reasonable assembly scheme is generated and used as guidance for subsequent assembly, subsequent repeated loading and unloading or adjustment is avoided, and assembly efficiency is improved.
Taking the predetermined assembly objective as the highest amount of bearing value as an example, a flow chart of other embodiments of the article assembly assist method of the present disclosure is shown in fig. 2.
In step 201, a candidate target assembled item set in which each item to be assembled is set in a candidate assembled or non-candidate assembled state is acquired. If the state of each article is x, the value range of x is 0 (non-candidate assembly state) or 1 (candidate assembly state), so as to obtain a series of 01 sets, such as (1, 1, 1, 0, 0, 1), and the like.
In step 202, a candidate target assembly item set which does not exceed the bearing capacity is screened out according to the assembly parameters of the items in each candidate target assembly item set. In some embodiments, the total weight and the total occupied volume of the articles in the candidate target assembly article set can be determined by calculating from the aspects of weight and volume respectively, and the bearing capacity is not exceeded.
In step 203, a set with the largest sum of the value amounts in the candidate target assembled item set is determined as a set of target assembled items according to the value amounts of the respective items.
In step 204, space planning is performed according to the carrying capacity and the assembly parameters of each object, and a target position of each target assembly object is obtained. In some embodiments, any space planning method in the related art may be adopted to perform space planning on the target assembly item, with the size of the space to be assembled as a limit. In some embodiments, a feasible spatial planning scheme may be determined in a traversal manner. In some embodiments, the most stable solution may be determined among the available space planning solutions in order to reduce the likelihood of item damage.
By the method, the article set corresponding to the maximum article value quantity which can be borne by the space to be assembled can be obtained firstly, so that the space to be assembled is utilized most fully, the number of required spaces to be assembled (such as trucks) is reduced, and the assembling and transporting efficiency is improved.
A flow chart of still further embodiments of the article assembly assistance method of the present disclosure is shown in fig. 3.
In step 301, when the total amount of items to be assembled reaches a predetermined number, item information entered by a user is acquired through the WMS. In some embodiments, the predetermined amount may be an amount that exceeds the carrying capacity of a single truck, and may be set and adjusted manually based on experience.
In step 302, assembly parameters determined by the WMS according to the item information entered by the user are obtained.
In step 303, the model of the vehicle to be assembled is obtained.
In step 304, the carrying capacity of the space to be assembled is determined according to the corresponding relationship between the vehicle type and the vehicle load space.
In step 305, a set of target assembled items, which do not exceed the carrying capacity of the space to be assembled and have the highest sum of the value amounts of the items, is selected from the items to be assembled. In some embodiments, the set of target assembled items may be determined by the operations of steps 201-203 above.
In some embodiments, assuming that the number of items to be assembled is n, the carrying capacity of the vehicle is C, and the loading parameters (including weight, volume) of item i are WiValue ofThe volume is nui。
Assuming function B is a function that solves the total value, selecting the target of the set of target-loaded items as: max. F (n, C, x), where x ∈ 0, 1, max is the maximum value,
namely:
F(n,C,x)＝X1*V1+X2*V2+....+Xn*Vn
∑(X1*W2+X2*W2+...+Xn*Wn)≤C，xi∈0,1，i∈[1,n]
when the value of x is 0, the object is not taken as a target assembly object, and when the value of x is 1, the object is taken as a target assembly object. Obtaining vectors of various candidate assembly item sets by traversing two x values of each item, such as: (1,1,1,0,0,1)(1,1,1,0,0,1).
The function B (n, C) ═ max.f (n, C, x), and the values of x are automatically combined by the function B so that F (n, C, x) is maximized. The significance of the B (n, C) function is to select articles from the n articles, bear the weight of C and achieve the maximum value.
If 5 articles are provided, 4 articles with the largest total value quantity can be obtained, and then the addition of the 5 th article can not exceed the bearing capacity limit and can not obtain a maximum value.
If B (n, c) ═ B (n-1, c), the last item cannot be placed;
if B (n, c) is max { B (n-1, c), B (n-1, c-w)n)+vnAnd the last article can be placed.
In some embodiments, if the predetermined assembly goal is space utilization maximum, or load utilization maximum, the above parameter of value amount may be adjusted to space occupancy or weight to meet the predetermined assembly goal.
In step 306, space planning is performed according to the carrying capacity and the assembly parameters of each object, and a target position of each target assembly object is obtained.
In step 307, graphical information is generated according to the assembly plan.
In some embodiments, the graphical information may be an assembly simulation image, including an image of the item at each location of each layer. In some embodiments, the graphical information may be an infrared grid projection image, including an item outline projection for each location of each layer.
In step 308, the graphical information is sent to a display device.
In some embodiments, the display device may be a terminal with a display screen, such as a mobile phone or a computer, so as to display graphical information. In some embodiments, the display device may also be an infrared projection capable of projecting an infrared grid projection image on a wall of the space to be assembled, such as a truck interior surface or a predetermined projection space, to facilitate viewing or querying information by a practitioner during the assembly process.
In some embodiments, cross-sectional images of graphical information may be displayed, and the practitioner selects the cross-section to view during the assembly process, and the various cross-sections are projected one after another, thereby reducing the amount of interference information at each stage of assembly and improving the accuracy and efficiency of assembly.
By the method, article selection and space planning can be performed in advance before assembly based on information in the warehousing system, the utilization of the load capacity and the space is maximized while the satisfaction degree of a preset assembly target is improved, the assembly times and the required space number are reduced, and the assembly and transportation efficiency is improved; the method can prompt in an image mode, improve the imaging degree of the auxiliary information, reduce the assembly difficulty and further improve the assembly efficiency.
A schematic view of some embodiments of the article assembly aid of the present disclosure is shown in fig. 4.
The bearing capacity acquiring module 401 can acquire the bearing capacity of the space to be assembled. In some embodiments, the load carrying capacity may include a load carrying capacity and a size of the load carrying space. In some embodiments, the space to be fitted may be a warehouse or a vehicle. Under the condition that the space to be assembled is a vehicle, the incidence relation between the model of the vehicle and the bearing capacity can be prestored, and the bearing capacity is obtained according to the model of the vehicle to be assembled.
The assembly parameter acquisition module 402 can acquire assembly parameters of each article to be assembled, the assembly parameters including shape, size, and weight. In some embodiments, the assembly parameters may also include a value amount of the item. In some embodiments, the amount of value of the item may be positively correlated with one or more of the price, profit, or urgency of delivery of the item.
The item selection and planning module 403 can select a target item and plan a space according to a predetermined assembly target according to the bearing capacity of the space and the assembly parameters of the item, and determine an assembly scheme, where the assembly scheme includes the target assembly items and target positions of the target assembly items. In some embodiments, the predetermined assembly goals include highest space utilization, highest load utilization, or highest amount of bearing value. In some embodiments, parameter adjustment may be performed according to circumstances, such as adjusting a predetermined assembly target, so as to output an assembly plan meeting the requirements of the user.
The output module 404 can provide the assembly plan to an implementer for performing assembly of the item in accordance with the assembly plan. In some embodiments, the assembly protocol may be provided graphically to provide intuitive assembly assistance information to the practitioner.
The device can select the articles and plan the space before assembling the articles, generates a reasonable assembling scheme as a guide for subsequent assembling, avoids subsequent repeated loading and unloading or adjustment, and improves the assembling efficiency.
In some embodiments, the item selection and planning module 403 can determine the assembly plan in the manner as in the embodiments shown in fig. 2 and 3, so as to achieve the most efficient use of the space to be assembled.
In some embodiments, the bearing capacity obtaining module 401 may obtain a vehicle type of a vehicle to be assembled, and determine the bearing capacity of a space to be assembled according to a corresponding relationship between the vehicle type and a vehicle load space; in some embodiments, the assembly parameter obtaining module 402 may obtain, through the WMS, the item information entered by the user when the total amount of items to be assembled reaches a predetermined number, and obtain the assembly parameter determined by the WMS according to the item information entered by the user.
The device can obtain the bearing capacity and the assembly parameters by utilizing the pre-stored information, so that the basic data of the assembly strategy planning can be conveniently obtained, and the operation efficiency is improved.
In some embodiments, the output module 404 may generate graphical information according to the assembly plan and send the graphical information to a display device. In some embodiments, the graphical information may be an assembly simulation image, including an image of the item at each location of each layer. In some embodiments, the graphical information may be an infrared grid projection image, including a contour projection for each location of each layer.
The device is convenient for an executor to watch or inquire information in the assembling process, and can prompt in an image mode, so that the visualization degree of auxiliary information is improved, the assembling difficulty is reduced, and the assembling efficiency is further improved.
A schematic structural view of one embodiment of the article assembly aid of the present disclosure is shown in fig. 5. The article assembly aid comprises a memory 501 and a processor 502. Wherein: the memory 501 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is for storing instructions in the corresponding embodiments of the article assembly aid method above. The processor 502 is coupled to the memory 501 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 502 is configured to execute instructions stored in the memory, which can improve assembly efficiency.
In one embodiment, as also shown in FIG. 6, an article assembly aid 600 includes a memory 601 and a processor 602. The processor 602 is coupled to the memory 601 by a BUS 603. The article assembly aid 600 may also be coupled to an external storage device 605 via a storage interface 604 for accessing external data, and to a network or another computer system (not shown) via a network interface 606. And will not be described in detail herein.
In this embodiment, the assembly efficiency can be improved by storing the data instructions in the memory and processing the instructions by the processor.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the article assembly assisting method. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
A schematic diagram of some embodiments of the article assembly assist system of the present disclosure is shown in fig. 7.
The article assembly aid 71 may be any of those mentioned above.
The display devices 721 to 72n, n is a positive integer capable of receiving and displaying information from the article mounting support device.
The article assembly auxiliary system can select articles and plan space before performing article assembly to generate a reasonable assembly scheme, and displays the reasonable assembly scheme to an assembler through the display device, so that the assembly is convenient to perform according to the assembly scheme, the assembly difficulty is reduced, subsequent repeated assembly and disassembly or adjustment is avoided, and the assembly efficiency is improved.
In some embodiments, the information output by the item assembly aid is graphical information generated according to an assembly strategy. The display device can be a terminal with a display screen, such as a mobile phone and a computer, so that graphical information is displayed, and the display device is convenient for an executor of assembly operation to check. In some embodiments, the display device may also be an infrared projection, and may project an infrared grid projection image on a wall of a space to be assembled, such as an interior surface of a truck or a predetermined projection space, so as to facilitate a performer to view or query information during an assembly process, and the performer selects an object that conforms to an outline in the image to be assembled to a corresponding position.
In some embodiments, cross-sectional images of graphical information may be displayed, and the practitioner selects the cross-section to view during the assembly process, and the various cross-sections are projected one after another, thereby reducing the amount of interference information at each stage of assembly and improving the accuracy and efficiency of assembly.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
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.
Finally, it should be noted that: the above examples are intended only to illustrate the technical solutions of the present disclosure and not to limit them; although the present disclosure has been described in detail with reference to preferred embodiments, those of ordinary skill in the art will understand that: modifications to the specific embodiments of the disclosure or equivalent substitutions for parts of the technical features may still be made; all such modifications are intended to be included within the scope of the claims of this disclosure without departing from the spirit thereof.

Claims (13)

1. An article assembly assist method comprising:
acquiring the bearing capacity of a space to be assembled;
acquiring assembly parameters of each article to be assembled, wherein the assembly parameters comprise shape, size and weight;
according to the bearing capacity of the space and the assembly parameters of the objects, selecting target objects and planning the space according to a preset assembly target, and determining an assembly scheme, wherein the assembly scheme comprises the target assembly objects and target positions of all the target assembly objects;
providing the assembly plan to a performer for performing assembly of the item according to the assembly plan.
2. The method of claim 1, wherein the predetermined assembly goals include highest space utilization, highest load utilization, or highest bearing value amount.
3. The method of claim 1 or 2, wherein, in the case that the predetermined assembly objective is that the amount of bearing value is the highest, the determining an assembly plan comprises:
selecting a set of target assembly articles which do not exceed the bearing capacity of the space to be assembled and have the highest sum of value quantity from the articles to be assembled, wherein the bearing capacity comprises the load capacity and the load space size, and the assembly parameters also comprise the value quantity of the articles;
and executing space planning according to the bearing capacity and the assembly parameters of each object to obtain the target position of each target assembly object.
4. The method of claim 3, wherein the selecting from the items to be assembled a set of target assembled items that do not exceed the load bearing capacity of the space to be assembled and for which the sum of the item value quantities is highest comprises:
acquiring a candidate target assembly item set when each item to be assembled is set to be in a candidate assembly or non-candidate assembly state respectively;
screening out a candidate target assembly item set which does not exceed the bearing capacity according to the assembly parameters of the items in each candidate target assembly item set;
and determining a set with the largest sum of the value quantities in the candidate target assembly item set according to the value quantities of all the items, and taking the set as the target assembly item set.
5. The method of claim 1, wherein said providing the assembly protocol to an implementer comprises:
generating graphical information according to the assembly scheme, wherein the graphical information comprises an assembly simulation image or an infrared grid projection image;
and sending the graphical information to a display device.
6. The method of claim 5, wherein the displaying the graphical information through a target display device comprises:
and projecting the graphical information to a wall of the space to be assembled or a terminal of the performer.
7. The method according to any one of claims 1-2 or 4-6, wherein the space to be assembled comprises a vehicle load-carrying space, and the obtaining the load-carrying capacity of the space to be assembled comprises:
acquiring the vehicle type of a vehicle to be assembled;
and determining the bearing capacity of the space to be assembled according to the corresponding relation between the vehicle type and the vehicle load space.
8. The method according to any one of claims 1 to 2 or 4 to 6, wherein the obtaining of the assembly parameters of each article to be assembled comprises:
acquiring article information input by a user through a warehouse management system WMS;
and determining the assembly parameters according to the article information input by the user.
9. An article assembly aid comprising:
the bearing capacity acquisition module is configured to acquire the bearing capacity of a space to be assembled;
the assembling parameter acquiring module is configured to acquire assembling parameters of each article to be assembled, wherein the assembling parameters comprise shape, size and weight;
the object selection and planning module is configured to select and plan a target object according to a preset assembly target according to the bearing capacity of the space and the assembly parameters of the object, and determine an assembly scheme, wherein the assembly scheme comprises the target assembly object and target positions of the target assembly objects;
an output module configured to provide the assembly plan to an implementer for performing assembly of the item in accordance with the assembly plan.
10. An article assembly aid comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-8 based on instructions stored in the memory.
11. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 8.
12. An article assembly aid system comprising:
the article mounting aid of claim 9 or 10; and
a display device configured to receive and display information from the article assembly assisting device.
13. The article assembly assist system according to claim 12,
the information output by the article assembly auxiliary device is graphical information generated according to an assembly strategy;
the graphical information comprises an assembly simulation image or an infrared grid projection image; and
the display device is a user terminal with a screen or an infrared projection device.
CN202011119134.7A 2020-10-19 2020-10-19 Article assembly assisting method, apparatus, system and storage medium Pending CN112257550A (en)

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