CN113592339A - Cargo information calibration system and method and electronic equipment - Google Patents
Cargo information calibration system and method and electronic equipment Download PDFInfo
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Abstract
The invention discloses a cargo information calibration system, a cargo information calibration method and electronic equipment, and relates to the technical field of electronics. The cargo information calibration system comprises a blockchain module, a scheduling management module and a machine vision module, wherein the scheduling management module and the machine vision module are in communication connection through the blockchain module; the machine vision module is used for acquiring the cargo information in the target cargo image information after acquiring the target cargo image information, and determining first related information of the target cargo according to the cargo information; under the condition that the first related information of the target goods is inconsistent with the second related information of the target goods stored in the goods information database, the goods information database is calibrated and updated based on the first related information of the target goods, real-time display and update can be performed on the goods information database, abnormal goods data can be timely positioned, and the accuracy of goods information in the database is improved.
Description
Technical Field
The invention relates to the technical field of electronics, in particular to a cargo information calibration system, a cargo information calibration method and electronic equipment.
Background
With the development of science and technology, the flat warehouse is gradually developed, and the flat warehouse generally has the problems of low utilization rate, low warehouse entry and exit efficiency, untidy goods stacking and the like. Therefore, the efficiency can be improved by adopting a vertical warehouse mode, and the cost is saved.
At present, can reduce or even cancel artifical access way usually when building the vertical warehouse, lead to the manual work very inconvenient when carrying out the vertical warehouse in kind checking, lead to the risk of mistake appearing in the data arrangement in-process of artifical warehouse, and simultaneously, because the throughput of bottom equipment is limited, mutual log can't effectively be preserved, it is comparatively difficult to seek, can't effectively monitor and trace back at the interactive in-process of goods data, lead to unable accurate timely location to unusual goods data, cause the inaccuracy of goods information in the storehouse, the reliability of plane warehouse has been reduced.
Disclosure of Invention
The invention aims to provide a cargo information calibration system, a cargo information calibration method and electronic equipment, which are used for solving the problems that abnormal cargo data cannot be accurately and timely positioned, so that the cargo information in a warehouse is inaccurate, and the reliability of a plane warehouse is reduced.
In a first aspect, the present invention provides a cargo information calibration system, which includes a blockchain module, a scheduling management module, and a machine vision module, wherein the scheduling management module and the machine vision module are communicatively connected through the blockchain module;
the blockchain module is used for establishing a blockchain network so as to realize the communication connection between the scheduling management module and the machine vision module through the blockchain module;
the dispatching management module is used for responding to a dispatching instruction input by a user, namely dispatching the machine vision module to acquire the image information of the target cargo;
the machine vision module is used for acquiring the cargo information in the target cargo image information after acquiring the target cargo image information, and determining first related information of the target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
Under the condition of adopting the technical scheme, a block chain network is established through the block chain module so as to realize the communication connection between the scheduling management module and the machine vision module through the block chain module, and the scheduling management module responds to a scheduling instruction input by a user to schedule the machine vision module to acquire target cargo image information; the machine vision module acquires cargo information in the target cargo image information after acquiring the target cargo image information, and determines first related information of a target cargo according to the cargo information; under the condition that the first related information of the target goods is inconsistent with the second related information of the target goods stored in the goods information database, the goods information database is calibrated and updated based on the first related information of the target goods, the real-time monitoring of the data generation and use process in the vertical warehouse can be realized, the data can be checked according to the data, the goods information database can be displayed and updated in real time when inventory operation is required, abnormal goods data can be timely positioned, the accuracy of goods information in the warehouse is improved, and the reliability of the flat warehouse is improved.
In a possible implementation manner, the cargo information calibration system further includes an upper control module communicatively connected to the scheduling management module through the blockchain module;
the upper control module is used for sending ex-warehouse task information to the scheduling management module;
the dispatching management module is further configured to respond to the ex-warehouse task information, perform ex-warehouse dispatching on corresponding goods in the ex-warehouse task information, and update the corresponding goods information in the goods information database after the corresponding goods are subjected to the ex-warehouse dispatching.
In a possible implementation manner, the scheduling management module includes a delivery sub-module communicatively connected to the upper control module through the blockchain module, and the delivery sub-module is configured to perform delivery scheduling of corresponding goods based on the delivery task information.
In a possible implementation manner, the scheduling management module includes a warehousing submodule, and the warehousing submodule is used for acquiring cargo information; and determining a target distribution place based on the cargo information.
In a possible implementation manner, the scheduling management module includes a inventory sub-module, and the inventory sub-module is configured to schedule the machine vision module to acquire the image information of the target cargo in response to a scheduling instruction input by a user.
In one possible implementation manner, the first related information of the target cargo includes first location state information and first cargo related information of the target cargo; the second related information of the target cargo comprises second position state information and second cargo related information; the machine vision module comprises an image acquisition sub-module and an image analysis sub-module which are connected with each other;
the image acquisition submodule is used for acquiring image information of the target cargo and acquiring cargo information in the image information of the target cargo after acquiring the image information of the target cargo;
the image analysis submodule is used for determining first storage position state information and first goods related information of the target goods according to the goods information; and when the first goods related information is inconsistent with the second goods related information, calibrating and updating the second goods related information based on the first goods related information, and/or calibrating and updating the second goods related information based on the first goods related information to obtain an updated goods information database, and displaying the goods information database in an early warning display mode.
In a possible implementation manner, the machine vision module is further configured to determine that the second related information is the target cargo information corresponding to the cargo information database and display the target cargo information corresponding to the cargo information database when the first related information is consistent with the second related information.
In a second aspect, the present invention further provides a cargo information calibration method, which is applied to the cargo information calibration system of any one of the first aspects, and the cargo information calibration system includes a blockchain module, a scheduling management module, and a machine vision module, wherein the scheduling management module and the machine vision module are communicatively connected through the blockchain module; the method comprises the following steps:
utilizing the blockchain module for establishing a blockchain network to realize the communication connection between the scheduling management module and the machine vision module through the blockchain module;
controlling the scheduling management module to respond to a scheduling instruction input by a user, and scheduling the machine vision module to acquire target cargo image information;
controlling the machine vision module to acquire cargo information in the target cargo image information after acquiring the target cargo image information, and determining first related information of a target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
In a possible implementation manner, the cargo information calibration system further includes an upper control module communicatively connected to the scheduling management module through the blockchain module; the method further comprises the following steps:
controlling the upper control module to send ex-warehouse task information to the scheduling management module;
and controlling the dispatching management module to respond to the ex-warehouse task information, carry out ex-warehouse dispatching on corresponding goods in the ex-warehouse task information, and update the corresponding goods information in the goods information database after carrying out ex-warehouse dispatching on the corresponding goods.
The beneficial effect of the cargo information calibration method provided by the second aspect is the same as that of the cargo information calibration system described in the first aspect or any possible implementation manner of the first aspect, and details are not repeated here.
In a third aspect, the present invention further provides an electronic device, including the cargo information calibration method according to any one of the second aspects.
The beneficial effect of the electronic device provided by the third aspect is the same as that of the cargo information calibration method described in the second aspect or any possible implementation manner of the second aspect, and details are not repeated here.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram illustrating a cargo information calibration system according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a configuration of another cargo information calibration system provided by an embodiment of the present application;
FIG. 3 is a schematic structural diagram illustrating a further cargo information calibration system provided by an embodiment of the present application;
FIG. 4 is a flow chart illustrating a method for cargo information calibration according to an embodiment of the present application;
fig. 5 shows a hardware structure diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to facilitate clear description of technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. For example, the first threshold and the second threshold are only used for distinguishing different thresholds, and the sequence order of the thresholds is not limited. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.
It is to be understood that the terms "exemplary" or "such as" are used herein to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a and b combination, a and c combination, b and c combination, or a, b and c combination, wherein a, b and c can be single or multiple.
Fig. 1 shows a schematic structural diagram of a cargo information calibration system provided in an embodiment of the present application, and as shown in fig. 1, the cargo information calibration system includes a blockchain module 101, a schedule management module 102, and a machine vision module 103, where the schedule management module 102 and the machine vision module 103 are communicatively connected through the blockchain module 101.
The blockchain module 101 is configured to establish a blockchain network, so as to implement a communication connection between the scheduling management module and the machine vision module through the blockchain module.
The scheduling management module 102 is configured to schedule the machine vision module 103 to acquire image information of the target cargo in response to a scheduling instruction input by a user.
The machine vision module 103 is configured to acquire cargo information in the target cargo image information after acquiring the target cargo image information, and determine first related information of a target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
To sum up, by using the cargo information calibration system provided by the embodiment of the present application, a block chain network is established through the block chain module to implement communication connection between the scheduling management module and the machine vision module through the block chain module, and the scheduling management module schedules the machine vision module to acquire target cargo image information in response to a scheduling instruction input by a user; the machine vision module acquires cargo information in the target cargo image information after acquiring the target cargo image information, and determines first related information of a target cargo according to the cargo information; under the condition that the first related information of the target goods is inconsistent with the second related information of the target goods stored in the goods information database, the goods information database is calibrated and updated based on the first related information of the target goods, real-time monitoring of the data generation and use process in the vertical warehouse can be achieved, when warehouse inventory operation is needed, real-time display and updating can be carried out on the goods information database, abnormal goods data can be timely located, accuracy of goods information in the warehouse is improved, and reliability of the flat warehouse is improved.
Fig. 2 shows a schematic structural diagram of another cargo information calibration system provided in an embodiment of the present application, and as shown in fig. 2, the cargo information calibration system includes a blockchain module 101, a schedule management module 102, and a machine vision module 103, where the schedule management module 102 and the machine vision module 103 are communicatively connected through the blockchain module 101.
The blockchain module 101 is configured to establish a blockchain network, so as to implement a communication connection between the scheduling management module and the machine vision module through the blockchain module.
The scheduling management module 102 is configured to schedule the machine vision module 103 to acquire image information of the target cargo in response to a scheduling instruction input by a user.
The machine vision module 103 is configured to acquire cargo information in the target cargo image information after acquiring the target cargo image information, and determine first related information of a target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
Optionally, the block chain module in this application may include a block chain network submodule, a data acquisition submodule and a data analysis submodule, where the block chain network submodule may establish a block chain network as a bridge for interaction of each device and system, the data acquisition submodule may acquire interaction information of each device and system in real time, and the data analysis submodule may analyze validity of data interaction, perform early warning when data is abnormal, and analyze reasons and sources of problems.
In the present application, the schedule management module may include a Warehouse Control System (WCS).
The machine vision module may include: visual submodule of stacker, Programmable Logic Controller (PLC), Automatic Guided Vehicle (AGV)
Referring to fig. 2, the cargo information calibration system further includes an upper control module 104 communicatively connected to the schedule management module 102 through the blockchain module 101; in this application, the upper control module 104 is configured to send the outbound task information to the scheduling management module 102; the scheduling management module 102 is further configured to perform ex-warehouse scheduling on corresponding goods in the ex-warehouse task information in response to the ex-warehouse task information, and update the corresponding goods information in the goods information database after the corresponding goods are subjected to ex-warehouse scheduling.
Optionally, the upper control module may include a Warehouse Management System (WMS), an Enterprise Resource Planning System (ERP), a manufacturing information Management System (MES) facing to a manufacturing Enterprise workshop execution layer, and the like, which is not specifically limited in this embodiment of the present application, and may be adjusted accordingly according to an actual application scenario.
Fig. 3 is a schematic structural diagram of another cargo information calibration system provided in an embodiment of the present application, and as shown in fig. 3, the scheduling management module includes a delivery submodule 1021 connected to the upper control module 104 through the block chain module 101, and the delivery submodule 1021 is configured to perform delivery scheduling of corresponding cargo based on the delivery task information.
Specifically, the ex-warehouse submodule can be used for ex-warehouse management of goods, and decomposes tasks according to ex-warehouse tasks of the upper control module to perform ex-warehouse scheduling of the goods; the dispatch management module needs to be split into corresponding goods for delivery according to the delivery requirements of the upper control module, such as the number of certain goods. Or the upper layer controls to appoint a plurality of goods to be delivered out of the warehouse, and the scheduling management module carries out task decomposition to the appointed goods according to a certain principle (such as first-in first-out and the like).
In this application, referring to fig. 3, the scheduling management module 102 includes a warehousing submodule 1022, where the warehousing submodule 1022 is configured to obtain cargo information; and determining a target distribution place based on the cargo information.
In the application, the warehousing submodule can be used for warehousing management of goods, distributing destinations of the goods according to goods information, and performing warehousing scheduling of the goods; the cargo information may include identification codes, length, width, height, weight, variety, special temperature and humidity requirements, and the like of the cargo.
For example, in some scenarios, temperature and humidity of goods need to be strictly controlled. In some situations, the weight, the length, the width and the height are required to be controlled, and high goods are placed in a designated goods area. In some scenarios, it is desirable to place the seeds separately. In the present application, a related warehousing allocation logic may be designated according to different scenes, which is not specifically limited in this embodiment, and calibration adjustment may be performed according to actual application scenes.
In this application, referring to fig. 3, the schedule management module 102 includes a disc library sub-module 1023, and the disc library sub-module 1023 is configured to schedule the machine vision module to acquire target cargo image information in response to a scheduling instruction input by a user.
The scheduling instruction input by the user may include a disc library instruction, and the specific information included in the scheduling instruction is not limited in the embodiment of the present application, and may be calibrated and adjusted according to an actual application scenario.
In the present application, the first related information of the target cargo includes first position status information and first cargo related information of the target cargo; the second related information of the target cargo comprises second depot position state information and second cargo related information. Referring to fig. 3, the machine vision module includes an image acquisition sub-module 1031 and an image analysis sub-module 1032 connected to each other;
the image acquisition submodule 1031 is configured to acquire target cargo image information, and acquire cargo information in the target cargo image information after acquiring the target cargo image information;
the image analysis sub-module 1032 is configured to determine first warehouse location state information and first cargo related information of the target cargo according to the cargo information; and when the first goods related information is inconsistent with the second goods related information, calibrating and updating the second goods related information based on the first goods related information, and/or calibrating and updating the second goods related information based on the first goods related information to obtain an updated goods information database, and displaying the goods information database in an early warning display mode.
The storage location state may be a cargo state or a cargo-free state, and the storage location state information may correspondingly include cargo state information or cargo-free state information. The cargo management information may include information such as identification code, length, width, height, weight, variety, and special temperature and humidity requirements of the cargo.
In this application, the machine vision module 103 is further configured to determine that the second related information is the target cargo information corresponding to the cargo information database and display the target cargo information corresponding to the cargo information database when the first related information is consistent with the second related information.
To sum up, by using the cargo information calibration system provided by the embodiment of the present application, a block chain network is established through the block chain module to implement communication connection between the scheduling management module and the machine vision module through the block chain module, and the scheduling management module schedules the machine vision module to acquire target cargo image information in response to a scheduling instruction input by a user; the machine vision module acquires cargo information in the target cargo image information after acquiring the target cargo image information, and determines first related information of a target cargo according to the cargo information; under the condition that the first related information of the target goods is inconsistent with the second related information of the target goods stored in the goods information database, the goods information database is calibrated and updated based on the first related information of the target goods, the real-time monitoring of the data generation and use process in the vertical warehouse can be realized, the data can be checked according to the data, the goods information database can be displayed and updated in real time when inventory operation is required, abnormal goods data can be timely positioned, the accuracy of goods information in the warehouse is improved, and the reliability of the flat warehouse is improved.
Fig. 4 is a schematic flowchart of a cargo information calibration method according to an embodiment of the present application, which is applied to the cargo information calibration system described in any one of fig. 1 to 3, where the cargo information calibration system includes a blockchain module, a schedule management module, and a machine vision module, where the schedule management module and the machine vision module are communicatively connected through the blockchain module; the method comprises the following steps:
step 201: and utilizing the blockchain module to establish a blockchain network so as to realize the communication connection between the scheduling management module and the machine vision module through the blockchain module.
Step 202: and controlling the scheduling management module to respond to a scheduling instruction input by a user, and scheduling the machine vision module to acquire the image information of the target cargo.
Step 203: controlling the machine vision module to acquire cargo information in the target cargo image information after acquiring the target cargo image information, and determining first related information of a target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
In a possible implementation manner, the cargo information calibration system further includes an upper control module communicatively connected to the scheduling management module through the blockchain module; the method further comprises the following steps:
controlling the upper control module to send ex-warehouse task information to the scheduling management module;
and controlling the dispatching management module to respond to the ex-warehouse task information, carry out ex-warehouse dispatching on corresponding goods in the ex-warehouse task information, and update the corresponding goods information in the goods information database after carrying out ex-warehouse dispatching on the corresponding goods.
In summary, by using the cargo information calibration method provided by the embodiment of the present application, a block chain network is established through the block chain module to implement communication connection between the scheduling management module and the machine vision module through the block chain module, and the scheduling management module schedules the machine vision module to acquire target cargo image information in response to a scheduling instruction input by a user; the machine vision module acquires cargo information in the target cargo image information after acquiring the target cargo image information, and determines first related information of a target cargo according to the cargo information; under the condition that the first related information of the target goods is inconsistent with the second related information of the target goods stored in the goods information database, the goods information database is calibrated and updated based on the first related information of the target goods, real-time monitoring of the data generation and use process in the vertical warehouse can be achieved, when warehouse inventory operation is needed, real-time display and updating can be carried out on the goods information database, abnormal goods data can be timely located, accuracy of goods information in the warehouse is improved, and reliability of the flat warehouse is improved.
Fig. 5 is a schematic diagram illustrating a hardware structure of an electronic device according to an embodiment of the present invention. As shown in fig. 5, the electronic device 300 includes a processor 310 and a digital-to-analog converter.
As shown in fig. 5, the processor 310 may be a general processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more ics for controlling the execution of programs according to the present invention.
As shown in fig. 5, the electronic device 300 may further include a communication line 340. Communication link 340 may include a path to communicate information between the aforementioned components.
Optionally, as shown in fig. 5, the electronic device may further include a communication interface 320. The communication interface 320 may be one or more. The communication interface 320 may use any transceiver or the like for communicating with other devices or communication networks.
Optionally, as shown in fig. 5, the electronic device may further include a memory 330. The memory 330 is used to store computer-executable instructions for performing aspects of the present invention and is controlled for execution by the processor. The processor is used for executing the computer execution instructions stored in the memory, thereby realizing the method provided by the embodiment of the invention.
As shown in fig. 5, the memory 330 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a Random Access Memory (RAM) or other types of dynamic storage devices that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 330 may be separate and coupled to the processor 310 via a communication line 340. The memory 330 may also be integrated with the processor 310.
Optionally, the computer-executable instructions in the embodiment of the present invention may also be referred to as application program codes, which is not specifically limited in this embodiment of the present invention.
In particular implementations, as one embodiment, processor 310 may include one or more CPUs, such as CPU0 and CPU1 in fig. 5, as shown in fig. 5.
In one implementation, as shown in fig. 5, a terminal device may include multiple processors, such as processor 310 in fig. 5, for example. Each of these processors may be a single core processor or a multi-core processor.
In one aspect, a computer-readable storage medium is provided, in which instructions are stored, and when executed, the instructions implement the functions performed by the terminal device in the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the procedures or functions described in the embodiments of the present invention are performed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, a terminal, a user device, or other programmable apparatus. The computer program or instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer program or instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that integrates one or more available media. The usable medium may be a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape; or optical media such as Digital Video Disks (DVDs); it may also be a semiconductor medium, such as a Solid State Drive (SSD).
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A cargo information calibration system is characterized by comprising a blockchain module, a scheduling management module and a machine vision module, wherein the scheduling management module and the machine vision module are in communication connection through the blockchain module;
the blockchain module is used for establishing a blockchain network so as to realize the communication connection between the scheduling management module and the machine vision module through the blockchain module;
the dispatching management module is used for responding to a dispatching instruction input by a user and dispatching the machine vision module to acquire image information of a target cargo;
the machine vision module is used for acquiring the cargo information in the target cargo image information after acquiring the target cargo image information, and determining first related information of the target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
2. The cargo information calibration system of claim 1, further comprising an upper control module communicatively coupled to the dispatch management module via the blockchain module;
the upper control module is used for sending ex-warehouse task information to the scheduling management module;
the dispatching management module is further configured to respond to the ex-warehouse task information, perform ex-warehouse dispatching on corresponding goods in the ex-warehouse task information, and update the corresponding goods information in the goods information database after the corresponding goods are subjected to the ex-warehouse dispatching.
3. The cargo information calibration system according to claim 2, wherein the scheduling management module includes an ex-warehouse sub-module communicatively connected to the upper control module through the blockchain module, and the ex-warehouse sub-module is configured to perform ex-warehouse scheduling for corresponding cargo based on the ex-warehouse task information.
4. The cargo information calibration system according to claim 1, wherein the scheduling management module comprises a warehousing submodule for acquiring cargo information; and determining a target distribution place based on the cargo information.
5. The cargo information calibration system of claim 1, wherein the dispatch management module comprises a inventory sub-module configured to dispatch the machine vision module to capture target cargo image information in response to a user-entered dispatch instruction.
6. The cargo information calibration system according to claim 1, wherein the first related information of the target cargo comprises first depot state information and first cargo related information of the target cargo; the second related information of the target cargo comprises second position state information and second cargo related information; the machine vision module comprises an image acquisition sub-module and an image analysis sub-module which are connected with each other;
the image acquisition submodule is used for acquiring image information of the target cargo and acquiring cargo information in the image information of the target cargo after acquiring the image information of the target cargo;
the image analysis submodule is used for determining first storage position state information and first goods related information of the target goods according to the goods information; and when the first goods related information is inconsistent with the second goods related information, calibrating and updating the second goods related information based on the first goods related information, and/or calibrating and updating the second goods related information based on the first goods related information to obtain an updated goods information database, and displaying the goods information database in an early warning display mode.
7. The cargo information calibration system of claim 1, wherein the machine vision module is further configured to determine that the second related information is the target cargo information corresponding to the cargo information database and display the target cargo information corresponding to the cargo information database if the first related information is consistent with the second related information.
8. A cargo information calibration method, applied to the cargo information calibration system of any one of claims 1 to 7, wherein the cargo information calibration system comprises a blockchain module, a scheduling management module and a machine vision module, wherein the scheduling management module and the machine vision module are in communication connection through the blockchain module; the method comprises the following steps:
utilizing the blockchain module for establishing a blockchain network to realize the communication connection between the scheduling management module and the machine vision module through the blockchain module;
controlling the scheduling management module to respond to a scheduling instruction input by a user, and scheduling the machine vision module to acquire target cargo image information;
controlling the machine vision module to acquire cargo information in the target cargo image information after acquiring the target cargo image information, and determining first related information of a target cargo according to the cargo information; and under the condition that the first related information of the target cargo is inconsistent with the second related information of the target cargo stored in the cargo information database, calibrating and updating the cargo information database based on the first related information of the target cargo.
9. The cargo information calibration method according to claim 8, wherein the cargo information calibration system further comprises an upper control module communicatively connected to the schedule management module through the blockchain module; the method further comprises the following steps:
controlling the upper control module to send ex-warehouse task information to the scheduling management module;
and controlling the dispatching management module to respond to the ex-warehouse task information, carry out ex-warehouse dispatching on corresponding goods in the ex-warehouse task information, and update the corresponding goods information in the goods information database after carrying out ex-warehouse dispatching on the corresponding goods.
10. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the cargo information calibration method of any of claims 8 to 9.
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