WO2021249571A1 - Procédé d'inventaire d'entrepôt et système d'entreposage - Google Patents

Procédé d'inventaire d'entrepôt et système d'entreposage Download PDF

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Publication number
WO2021249571A1
WO2021249571A1 PCT/CN2021/103214 CN2021103214W WO2021249571A1 WO 2021249571 A1 WO2021249571 A1 WO 2021249571A1 CN 2021103214 W CN2021103214 W CN 2021103214W WO 2021249571 A1 WO2021249571 A1 WO 2021249571A1
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WIPO (PCT)
Prior art keywords
target bin
information
robot
inventory
target
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PCT/CN2021/103214
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English (en)
Chinese (zh)
Inventor
周红霞
张旻惠
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深圳市海柔创新科技有限公司
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Publication of WO2021249571A1 publication Critical patent/WO2021249571A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
    • B65G1/02—Storage devices
    • B65G1/04—Storage devices mechanical
    • B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
    • B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
    • B65G1/02—Storage devices
    • B65G1/04—Storage devices mechanical

Definitions

  • the present disclosure relates to the technical field of intelligent storage, and in particular to a storage inventory method and storage system.
  • the warehouse management system usually issues an inventory task to the robot.
  • the inventory task is used to instruct the robot to go to the target storage location to take out the target container, and then transport the target container to the manual console for inventory operation, etc. After completion, the target container will be transported back to the target location for storage.
  • the present disclosure provides a storage inventory method and a storage system, so as to realize an entire container inventory of a target bin, quickly find a problematic target bin, and improve storage inventory efficiency.
  • the present disclosure provides a warehouse inventory method, including:
  • the inventory task includes the storage location of the target bin
  • the recognition result includes target bin information.
  • the sending the inventory task to the robot includes:
  • the sending an inventory task to the robot according to the position information includes:
  • the determining the target road section information used by the robot according to the driving path includes:
  • the target road section information that meets the reservation requirement is selected from the candidate road section information; wherein the reservation requirement includes: no robot is driving on the lane indicated by the candidate road section information within a preset time period.
  • the target bin information includes: verification information of the target bin; wherein the verification information is used to indicate whether the recorded storage location of the target bin and the actual storage location of the target bin are Unanimous.
  • the method further includes:
  • the verification information indicates that the recorded storage location of the target bin is inconsistent with the actual storage location of the target bin, it is determined that the target bin information is abnormal.
  • the target bin information includes: deformation information of the target bin; wherein the deformation information is used to characterize the degree of deformation of the target bin.
  • the method further includes:
  • the deformation information includes any one or more of the width, length, and height of the target bin;
  • it also includes:
  • the abnormal target bin information is counted to generate a corresponding statistical list; where N is a natural number greater than 1, and the statistical list is sent to the warehouse manager Terminal Equipment.
  • it also includes:
  • a transport task is issued to the robot, and the transport task is used to instruct the robot to transport the target bin whose target bin information is abnormal to a designated location.
  • the present disclosure provides a warehouse inventory method, including:
  • the inventory task includes the storage location of the target bin;
  • the recognition result corresponding to the inventory task is reported to the server; the recognition result includes target bin information.
  • the execution of the inventory task includes:
  • identifying the target bin stored in the storage location of the target bin to obtain the recognition result includes:
  • identifying the target bin stored in the storage location of the target bin to obtain the recognition result includes:
  • the deformation information of the target bin includes any one or a combination of the width, length, and height of the target bin.
  • it also includes:
  • the transport task transport the target bin with abnormal target bin information to a designated location.
  • the present disclosure also provides a storage inventory device, including:
  • the processing module is used to issue an inventory task to the robot; the inventory task includes the storage location of the target bin;
  • the receiving module is used to receive the recognition result reported by the robot; the recognition result includes the target bin information.
  • the processing module is specifically used for:
  • the processing module is specifically used for:
  • the processing module is specifically used for:
  • the target road section information that meets the reservation requirement is selected from the candidate road section information; wherein the reservation requirement includes: no robot is driving on the lane indicated by the candidate road section information within a preset time period.
  • the target bin information includes: verification information of the target bin; wherein the verification information is used to indicate whether the recorded storage location of the target bin and the actual storage location of the target bin are Unanimous.
  • the processing module is also used for:
  • the verification information indicates that the recorded storage location of the target bin is inconsistent with the actual storage location of the target bin, it is determined that the target bin information is abnormal.
  • an acquisition module for:
  • the target bin information includes: deformation information of the target bin; wherein the deformation information is used to characterize the degree of deformation of the target bin.
  • the processing module is also used to:
  • the deformation information includes any one or more of the width, length, and height of the target bin;
  • the processing module is also used to:
  • N When the number of abnormalities in the target bin information is greater than N, perform statistics on the abnormal target bin information to generate a corresponding statistical list; where N is a natural number greater than 1;
  • the statistical list is sent to the terminal device of the warehouse manager.
  • the processing module is also used to:
  • a transport task is issued to the robot, and the transport task is used to instruct the robot to transport the target bin whose target bin information is abnormal to a designated location.
  • the present disclosure also provides a storage inventory device, including:
  • the receiving module is used to receive the inventory task issued by the server; the inventory task includes the storage location of the target bin;
  • the execution module is used to execute the inventory task
  • the sending module is configured to report the recognition result corresponding to the inventory task to the server; the recognition result includes target bin information.
  • the sending module is configured to send location information to the server, so that the server generates the inventory task according to the location information.
  • the execution module is specifically used for:
  • the execution module is specifically used for:
  • the execution module is also used for:
  • the deformation information of the target bin includes any one or a combination of the width, length, and height of the target bin.
  • the execution module is also used for:
  • the transport task transport the target bin with abnormal target bin information to a designated location.
  • the present disclosure also provides a server, including:
  • the memory is used to store executable instructions of the processor
  • the processor is configured to execute any one of the warehouse inventory methods in the first aspect by executing executable instructions.
  • the present disclosure also provides a robot, including:
  • a robot body and several imaging devices arranged on the robot body for scanning goods, the robot body further includes: a memory and a processor, the memory is used to store executable instructions of the processor;
  • the processor is configured to execute the warehouse inventory method according to any one of the second aspects by executing the executable instructions.
  • the present disclosure also provides a storage system, including: a robot, a server, a shelf, and a communication connection between the robot and the server;
  • the server is used to execute any one of the storage inventory methods in the first aspect
  • the robot receives the instructions issued by the server and executes the inventory task of the target goods on the shelf.
  • embodiments of the present disclosure also provide a storage medium on which a computer program is stored, and when the program is executed by a processor, any one of the warehouse inventory methods in the first aspect is implemented.
  • embodiments of the present disclosure also provide a storage medium on which a computer program is stored, and when the program is executed by a processor, any one of the warehouse inventory methods in the second aspect is implemented.
  • the present disclosure provides a storage inventory method and a storage system, by issuing an inventory task to a robot; the inventory task includes the storage location of a target bin; receiving the recognition result reported by the robot; and the recognition result includes the target bin information.
  • the warehouse inventory method provided by the embodiments of the present disclosure, there is no need to move the container outwards, and the entire container inventory is directly realized at the container storage location, which improves the efficiency of warehouse inventory and the accuracy of verification.
  • Fig. 1 is an application scenario diagram of a warehouse inventory method according to an exemplary embodiment of the present disclosure
  • FIG. 2 is a first schematic flowchart of a warehouse inventory method according to an exemplary embodiment of the present disclosure
  • FIG. 3 is a second schematic flowchart of a warehouse inventory method according to an exemplary embodiment of the present disclosure
  • FIG. 4 is a third schematic flowchart of a warehouse inventory method according to an exemplary embodiment of the present disclosure.
  • FIG. 5 is a fourth flowchart of a warehouse inventory method according to an exemplary embodiment of the present disclosure.
  • Fig. 6 is a first structural schematic diagram of a warehouse inventory device according to an exemplary embodiment of the present disclosure
  • FIG. 7 is a second structural schematic diagram of a warehouse inventory device according to an exemplary embodiment of the present disclosure.
  • Fig. 8 is a schematic structural diagram of a server according to an exemplary embodiment of the present disclosure.
  • FIG. 1 is an application scenario diagram of a warehouse inventory method according to an exemplary embodiment of the present disclosure.
  • the application scenario includes a server 10 and one or more robots 20, and the robot 20 is in communication with the server 10;
  • the robot 20 can receive the task instruction issued by the server 10, and the robot 20 can also send the result of the task execution to the server 10.
  • the inventory task can be an inventory of the quantity and storage location of the goods on the shelf.
  • the goods received by logistics warehouses are often stored in bins. At this time, in the warehouse inventory, it will involve the entire container inventory for the target bin.
  • the robots 20 in the warehouse report location information to the server 10, and the server 10 respectively issues inventory tasks to each robot 20 according to the location information of each robot 20.
  • the robot 20 obtains the storage location of the target bin from the inventory task, and then drives to the storage location of the target bin to identify the target bin, and obtain a recognition result containing bin information.
  • the robot 20 reports the recognition result to the server 10 so that the server 10 can determine the location of the bin with abnormal information based on the bin information. Therefore, there is no need to move the cargo box outwards, and the whole box inventory can be directly realized at the storage location of the cargo box, which improves the efficiency of warehouse inventory and the accuracy of verification.
  • this embodiment does not limit the number of robots 20 that establish a communication connection with the server 10, nor does it limit the specific form of the robots 20.
  • the robot 20 may simultaneously receive multiple inventory tasks issued by the server 10, or may receive a new inventory task after executing one inventory task.
  • Fig. 2 is a first flow diagram of a warehouse inventory method according to an exemplary embodiment of the present disclosure. As shown in Fig. 2, the warehouse inventory method provided in this embodiment includes:
  • Step 101 Issue an inventory task to the robot.
  • the method in this embodiment can be applied to devices with data processing capabilities such as servers, warehouse management platforms, and data centers.
  • the server can issue an inventory task to the robot in the warehouse, and the inventory task includes the storage location of the target bin.
  • the robot After the robot receives the inventory task issued by the server, it drives to the target bin storage location, and then uses the image sensor installed on the robot to collect the target bin information at the target bin storage location. Finally, the identification result containing the target bin information is sent to the server.
  • Step 102 Receive the recognition result reported by the robot; the recognition result includes target bin information.
  • the server receives the recognition result reported by the robot, and then implements the entire inventory of the target bin based on the target bin information in the recognition result, quickly finds the target bin with the problem, and improves the storage inventory efficiency.
  • this embodiment does not need to dispatch the robot to move the target bin to the manual console. Instead, it directly implements the entire container inventory at the location corresponding to the target bin storage location, which effectively improves the storage inventory efficiency. And check the accuracy.
  • Fig. 3 is a schematic diagram of the second process of the warehouse inventory method according to an exemplary embodiment of the present disclosure. As shown in Fig. 3, the warehouse inventory method provided in this embodiment includes:
  • Step 201 Obtain position information of the robot.
  • the server can communicate with multiple robots through a wireless network.
  • the server receives the position information reported by the robot, and the position information may be the position of the robot in the warehouse. It should be noted that this embodiment does not limit the communication method between the robot and the server, nor does it limit the method for the robot to obtain position information.
  • the target bin information is generally registered in the server.
  • the target bin information may include: the identification code affixed to the bin, the size information of the bin (for example, the box body). Length, width, height) and so on.
  • the inventory work of the target bin needs to be carried out from time to time.
  • a lot of inventory work is generally arranged in free time when there is no inbound and outbound business.
  • the server obtains the location information reported by each robot in the warehouse.
  • the positioning method of the robot is not limited in this embodiment.
  • the robot can be positioned through the preset ground marks on the warehouse floor, or through the GPS installed on the robot itself, or through the lidar installed on the robot itself, or It is located by computer vision. It should be noted that all existing positioning methods can be applied to this embodiment, and this embodiment does not limit the specific positioning methods.
  • Step 202 Based on the location information, issue an inventory task to the robot.
  • the server plans the driving path for the robot to reach the storage location of each target bin according to the position information of the robot; then, according to the driving path, determines the target road section information used by the robot; generates an inventory task based on the target road section information and the target bin storage location ; Finally, send the inventory task to the robot.
  • the server in order to avoid path conflicts between robots, the server first determines the candidate road section information that the robot passes when planning the driving path of the robot to the storage location of each target bin.
  • the candidate road section information includes: road section identifiers of all passable road sections from the current position of the robot to the storage location of the target bin.
  • the road section information that meets the reservation requirement is selected from the candidate road section information as the target road section information; wherein the reservation requirement includes: no robot is driving on the lane indicated by the candidate road section information within a preset time period.
  • the server when the server issues inventory tasks to robots in different locations, it will consider the distance and time it takes for the robot to reach the target bin storage location. Therefore, the robots with short driving distance and short time-consuming are selected to perform the inventory task. It should be noted that this embodiment does not limit the algorithm used by the server for path planning, and the server can optimize the path from the perspective of the robot's travel distance, travel time, and the like.
  • Step 203 Receive the recognition result reported by the robot; the recognition result includes target bin information.
  • the imaging device installed on the robot visually recognizes the bin of the target bin .
  • the recognition result is recorded as a recognition failure. If there is a bin at the storage location of the target bin, obtain any one or more of the width, length, and height of the target bin; if any one of the width, length, and height of the target bin is not at the preset threshold Within the range, it is determined that there is an abnormality in the target bin.
  • the target bin if there is a bin at the storage location of the target bin, scan the identification code of the target bin stored at the storage location of the target bin to obtain the verification information of the target bin; The verification information is used to indicate whether the recorded storage location of the target bin is consistent with the actual storage location of the target bin.
  • the robot scans the outline size of the target bin, it recognizes that the length of the bin is 602mm, and 602mm is not within the preset first threshold of 600mm, and it is determined that the target bin is abnormal.
  • the robot scans the dimensions of the goods, it recognizes that the width of the goods is 416mm, which is not within the preset second threshold of 410mm, and it is determined that the target bin has an abnormality.
  • the robot scans the identification information (such as a QR code, barcode, etc. containing the target box information) attached to the material box, and the identification information fails due to missing or worn out, it reports the identification failure information to the server .
  • the identification information such as a QR code, barcode, etc. containing the target box information
  • the server when the number of abnormalities in the target bin information is greater than N, the server counts the abnormal target bin information and generates a corresponding statistical list; where N is a natural number greater than 1. . Then send the statistical list to the terminal device of the warehouse manager.
  • the inventory task may include multiple subtasks. For example, the server assigns the inventory task of the entire column or the target bins on the entire row of shelves as a total task to the same robot. Then the inventory action for each target bin corresponds to a subtask. After the robot counts the target bins in turn, it may accumulate more than N times of recognition results that are abnormal. At this time, a statistical list can be generated according to the single inventory task assigned to the robot.
  • the server may generate a series of random inventory locations. Then the inventory task corresponding to the random inventory location is issued to one or more robots; each inventory location corresponds to an independent inventory task. At this time, in order to facilitate statistics, the server can summarize the abnormal target bin locations in this random inspection, and generate a statistical list according to multiple inventory tasks.
  • this embodiment does not limit the type and quantity of data included in the statistical list.
  • the location of the abnormal target bin can be counted, and the identification information of the abnormal target bin can also be counted.
  • the server may also issue a handling task to the robot, where the handling task is used to instruct the robot to move the target bin with abnormal target bin information to a designated location.
  • the handling task is used to instruct the robot to move the target bin with abnormal target bin information to a designated location.
  • the warehouse administrator can timely and accurately grasp the abnormal information of the goods in the warehouse.
  • abnormal target bins can be processed, and the logistics and warehousing information can be more accurate.
  • the designated location in this embodiment can be set according to actual application scenarios.
  • the abnormal target bins can be transported to a manual operation platform for manual review, or the abnormal target bins can be transported to a special storage area.
  • Fig. 4 is a third schematic flowchart of a warehouse inventory method according to an exemplary embodiment of the present disclosure. As shown in Figure 4, the warehouse inventory method provided in this embodiment includes:
  • Step 301 Receive the inventory task issued by the server; the inventory task includes the storage location of the target bin.
  • the method in this embodiment can be applied to devices with driving and computer vision capabilities such as robots and unmanned vehicles.
  • the robot receives the inventory task issued by the server and extracts the storage location of the target bin from the inventory task.
  • the robot when the robot itself has path planning capabilities, the robot can generate a driving path to the target bin storage location according to the target bin storage location and the robot location.
  • the server side can also generate a driving path to the target bin storage location based on the target bin storage location and the robot location, and then the server will The travel path is sent to the robot.
  • Step 302 Perform an inventory task.
  • the robot drives to the storage location of the target bin according to the planned travel path, and then recognizes the target bin through the installed image sensor to obtain the corresponding recognition result.
  • Step 303 Report the identification result corresponding to the inventory task to the server; the identification result includes the target bin information.
  • the robot sends the obtained recognition result containing the target bin information to the server, so that the server implements the whole bin inventory of the target bin according to the recognition result, and quickly finds the target bin with the problem. Improve the efficiency of warehousing inventory.
  • this embodiment does not need to dispatch the robot to move the target bin to the manual console. Instead, it directly implements the entire container inventory at the location corresponding to the target bin storage location, which effectively improves the storage inventory efficiency. And check the accuracy.
  • Fig. 5 is a fourth flowchart of a warehouse inventory method according to an exemplary embodiment of the present disclosure. As shown in Figure 5, the warehouse inventory method provided in this embodiment includes:
  • Step 401 Send location information to the server.
  • each robot located in the warehouse is connected to the server through a wireless network communication, and the robot obtains location information through its own locator and sends the location information to the server. It should be noted that this embodiment does not limit the communication method between the robot and the server, nor does it limit the method for the robot to obtain position information.
  • Step 402 Receive the inventory task issued by the server; the inventory task includes the storage location of the target bin.
  • the server issues an inventory task to the robot.
  • the robot can extract the target road section information and the storage location of the target bin from the inventory task.
  • Step 403 Perform an inventory task.
  • the robot drives to the storage location of the target bin according to the driving path indicated by the target road section information; recognizes the target bin stored in the storage location of the target bin, and obtains the recognition result.
  • the robot may scan the identification code of the target bin stored in the storage location of the target bin to obtain the verification information of the target bin.
  • the verification information of the target bin is used to indicate whether the recorded storage location of the target bin is consistent with the actual storage location of the target bin.
  • the shape of the bin stored in the storage location of the target bin is scanned to obtain deformation information.
  • Deformation information includes: the width, length, and height of the target bin.
  • Step 404 Report the identification result corresponding to the inventory task to the server; the identification result includes the target bin information.
  • the robot reports the deformation information and verification information of the target bin corresponding to the bin to the server, so that the server can summarize the abnormal target bin information in the storage to generate a statistical list, and send the statistical list to the warehouse manager's terminal equipment.
  • the robot may also receive a handling task issued by the server; according to the handling task, move the target bin with abnormal target bin information to a designated location. So that the warehouse administrator can timely and accurately grasp the abnormal information of the goods in the warehouse. It realizes the rapid verification of cargo information and storage location information to improve data accuracy, and at the same time adjusts and processes severely deformed target bins in advance to avoid subsequent processing risks.
  • Fig. 6 is a first structural diagram of a warehouse inventory device according to an exemplary embodiment of the present disclosure.
  • the warehouse inventory device 50 provided in this embodiment includes:
  • the processing module 51 is used to issue an inventory task to the robot; the inventory task includes the storage location of the target bin;
  • the receiving module 52 is used to receive the recognition result reported by the robot; the recognition result includes target bin information.
  • the processing module 51 is specifically used for:
  • the inventory task is issued to the robot.
  • the processing module 51 is specifically used for:
  • the processing module 51 is specifically used for:
  • the target road section information that meets the reservation requirement is selected from the candidate road section information; wherein the reservation requirement includes: no robot is driving on the lane indicated by the candidate road section information within a preset time period.
  • the target bin information includes: verification information of the target bin; wherein the verification information is used to indicate whether the recorded storage location of the target bin is consistent with the actual storage location of the target bin.
  • processing module 51 is also used for:
  • the verification information indicates that the recorded storage location of the target bin is inconsistent with the actual storage location of the target bin, it is determined that the target bin information is abnormal.
  • the storage inventory device 50 further includes an obtaining module 53, which is used to:
  • the target bin information includes: deformation information of the target bin; wherein the deformation information is used to characterize the degree of deformation of the target bin.
  • processing module 51 is also used for:
  • the deformation information includes any one or more of the width, length, and height of the target bin;
  • processing module 51 is also used for:
  • N When the number of abnormalities in the target bin information is greater than N, perform statistics on the abnormal target bin information to generate a corresponding statistical list; where N is a natural number greater than 1;
  • processing module 51 is also used for:
  • the handling task is used to instruct the robot to move the target bin with abnormal target bin information to a specified location.
  • the device in this embodiment can execute the methods shown in FIG. 2 and FIG. 3, and for the specific implementation process and beneficial effects, please refer to the description of the method shown in FIG. 2 and FIG. 3, which will not be repeated here.
  • Fig. 7 is a second structural diagram of a warehouse inventory device according to an exemplary embodiment of the present disclosure.
  • the warehouse inventory device 60 provided in this embodiment includes:
  • the receiving module 61 is used to receive the inventory task issued by the server; the inventory task includes the storage location of the target bin;
  • the execution module 62 is used to perform inventory tasks
  • the sending module 63 is also used to report the identification result corresponding to the inventory task to the server; the identification result includes the target bin information.
  • the sending module 63 is used to send location information to the server, so that the server generates an inventory task according to the location information.
  • the execution module 62 is specifically used for:
  • the execution module 62 is specifically used for:
  • the execution module 62 is also used to:
  • the deformation information of the target bin includes any one or a combination of the width, length, and height of the target bin.
  • the execution module 62 is also used to:
  • the device in this embodiment can execute the methods shown in FIG. 4 and FIG. 5.
  • FIG. 4 and FIG. 5 For the specific implementation process and beneficial effects, please refer to the description of the method shown in FIG. 4 and FIG. 5, which will not be repeated here.
  • Fig. 8 is a schematic structural diagram of a server according to an exemplary embodiment of the present disclosure.
  • a server 70 provided in this embodiment includes:
  • the memory 72 is used to store executable instructions of the processor, and the memory may also be a flash (flash memory);
  • the processor 71 is configured to execute each step in the foregoing method by executing executable instructions. For details, refer to the relevant description in the foregoing method embodiment.
  • the memory 72 may be independent or integrated with the processor 71.
  • the server 70 may further include:
  • the bus 73 is used to connect the processor 71 and the memory 72.
  • This embodiment also provides a robot, including: a robot body, and several imaging devices for scanning goods arranged on the robot body.
  • the robot body also includes: a memory and a processor, and the memory is used to store the executable of the processor. Instructions; wherein the processor is configured to execute the warehouse inventory method shown in FIGS. 4 and 5 by executing executable instructions.
  • This embodiment also provides a storage system, including: a robot, a server, a shelf, and a communication connection between the robot and the server; the server is used to perform the storage inventory method shown in Figure 2 and Figure 3; the robot is used in Figure 4 and Figure 5 The storage inventory method shown in order to realize the inventory task of the goods on the shelf.
  • the embodiments of the present disclosure also provide a computer-readable storage medium, and computer-executable instructions are stored in the computer-readable storage medium.
  • the user equipment executes the aforementioned various possibilities. Methods.
  • the computer-readable medium includes a computer storage medium and a communication medium, where the communication medium includes any medium that facilitates the transfer of a computer program from one place to another.
  • the storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.
  • An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and can write information to the storage medium.
  • the storage medium may also be an integral part of the processor.
  • the processor and the storage medium may be located in the ASIC.
  • the ASIC may be located in the user equipment.
  • the processor and the storage medium may also exist as discrete components in the communication device.
  • a person of ordinary skill in the art can understand that all or part of the steps in the foregoing method embodiments can be implemented by a program instructing relevant hardware.
  • the aforementioned program can be stored in a computer readable storage medium. When the program is executed, it executes the steps including the foregoing method embodiments; and the foregoing storage medium includes: ROM, RAM, magnetic disk, or optical disk and other media that can store program codes.

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Abstract

L'invention concerne un procédé d'inventaire d'entrepôt et un système d'entreposage. Le procédé d'inventaire d'entrepôt consiste à : émettre une tâche d'inventaire vers un robot (101), la tâche d'inventaire comprenant des positions d'entreposage de boîtes cibles; et recevoir un résultat de reconnaissance rapporté par le robot, le résultat de reconnaissance comprenant des informations des boîtes cibles (102). Selon le procédé d'inventaire d'entrepôt, un inventaire de boîtes entières des boîtes cibles est obtenu, les boîtes cibles présentant des problèmes peuvent être trouvées rapidement et l'efficacité d'inventaire d'entrepôt est ainsi améliorée.
PCT/CN2021/103214 2020-06-10 2021-06-29 Procédé d'inventaire d'entrepôt et système d'entreposage WO2021249571A1 (fr)

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CN202010523790.7 2020-06-10
CN202010523790.7A CN111661551B (zh) 2020-06-10 2020-06-10 仓储盘点方法和仓储***

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Cited By (3)

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