CN115439069A - Intelligent checking method, device and equipment for unmanned archive warehouse and storage medium - Google Patents
Intelligent checking method, device and equipment for unmanned archive warehouse and storage medium Download PDFInfo
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- CN115439069A CN115439069A CN202211168713.XA CN202211168713A CN115439069A CN 115439069 A CN115439069 A CN 115439069A CN 202211168713 A CN202211168713 A CN 202211168713A CN 115439069 A CN115439069 A CN 115439069A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
Abstract
The application relates to an intelligent checking method, an intelligent checking device, intelligent checking equipment and a storage medium for an unmanned archive warehouse, which are applied to the technical field of unmanned warehousing, wherein the method comprises the following steps: acquiring an inventory task; determining a scan power of a first robot based on the inventory task; determining a scan area of the first robot based on the scan power; and checking the target files in the unmanned file warehouse based on the scanning area to obtain a checking result. This application has the effect that improves the efficiency of checking, realizes unmanned storage management.
Description
Technical Field
The application relates to the technical field of unmanned warehousing, in particular to an intelligent checking method, device, equipment and storage medium for an unmanned archive warehouse.
Background
The archive warehouse is a special storage place, archives can be borrowed out of the warehouse and returned back to the warehouse, and the archives need to be checked regularly in consideration of confidentiality, safety and importance of the archives, and the checking records are recorded accurately in real time and are stored for a long time.
With the progress of the first robot technology in recent years, more and more first robots are used in the industries of warehousing, logistics, and the like. The fact proves that the application of the first robot in the scenes not only saves the labor cost, but also improves the efficiency, reduces the error rate and provides conditions for constructing the unmanned warehouse.
Although the first robot has been applied to industries such as warehousing, the files are checked manually at present, and if the first robot is operated manually, the situations of missed recording, wrong recording and record loss are generated, and the defects of low checking efficiency, redundancy of related personnel and the like are caused by overlarge data volume of the files.
Disclosure of Invention
In order to improve the checking efficiency and realize unmanned warehouse management, the application provides an intelligent checking method, an intelligent checking device, intelligent checking equipment and an intelligent checking storage medium for an unmanned archive warehouse.
In a first aspect, the application provides an intelligent checking method for an unmanned archive warehouse, which adopts the following technical scheme:
an intelligent checking method for an unmanned archive warehouse comprises the following steps:
acquiring an inventory task;
determining a scan power of a first robot based on the inventory task;
determining a scan area of the first robot based on the scan power;
and checking the target files in the unmanned file warehouse based on the scanning area to obtain a checking result.
Through adopting above-mentioned technical scheme, when needs carry out the check to unmanned archives warehouse, confirm the scanning region of robot through the check task that acquires, carry out the check to the target archives in the scanning region, constantly adjust the scanning region at the in-process that carries out the check to the realization is to the check of unmanned warehouse target archives, and compare with prior art, it has the advantage that improves check efficiency, the error rate is low, the check rate of accuracy height to carry out the check to the target archives through the robot moreover.
Optionally, the determining the scan power of the first robot based on the inventory task includes:
determining an inventory area based on the inventory task;
acquiring current position information of the first robot and position information of a central point of the inventory area;
determining a first distance of the first robot from a center point of an inventory area based on the current location information;
judging whether the first distance is greater than a preset distance;
if so, adjusting the scanning power of the first robot to the maximum scanning power, and controlling the first robot to move into the inventory area;
if not, the scanning power is adjusted to be the scanning power corresponding to the first distance.
Optionally, the controlling the first robot to enter the inventory area includes:
planning a plurality of first travel routes of the first robot based on the current position information and the position information of the central point of the inventory area;
sequencing the plurality of first travel routes to obtain a first sequencing result;
selecting an optimal traveling route based on the first sequencing result, wherein the optimal traveling route is a first traveling route with the shortest distance;
judging whether an inventory area in which other first robots are in inventory exists on the optimal travel route;
if the first robot exists, second traveling routes of other first robots are obtained;
adjusting the optimal travelling route based on the second travelling route to obtain a third travelling route;
controlling the first robot to move based on the third travel route.
Optionally, before the controlling the first robot to move based on the third travel route, the method further includes:
acquiring the traveling speed of the first robot and the moving distance of the traveling route;
determining a movement time of the first robot based on the movement distance and the travel speed, the movement time being a time when the first robot reaches the central point of the inventory area from the current position;
acquiring the opening speed of the intelligent compact shelves in the inventory area;
determining an opening time of the intelligent compact shelving based on the moving time and the opening speed;
and controlling the intelligent compact shelf to be opened based on the opening time.
Optionally, the checking the archive labels in the unmanned archive warehouse based on the scanning area, and obtaining a checking result includes:
acquiring a first file label in an inventory task;
acquiring all file label groups in the scanning area;
comparing the first file label with the file label group one by one;
if the first file label exists in the file label group, accurately positioning the first file label to obtain positioning information, and taking the positioning information as an inventory result;
and if the first label does not exist in the file label group, acquiring related information of a target file represented by the first file label, wherein the related information comprises a borrower and borrowing time, and taking the related information as an inventory result.
Optionally, the accurately positioning the first file tag, and obtaining the positioning information includes:
establishing a three-dimensional model based on the intelligent compact shelf;
establishing a rectangular coordinate system based on the three-dimensional model;
acquiring a first coordinate of the first robot on the rectangular coordinate system;
determining second coordinates of the first document tag based on the scan area and the first coordinates;
and determining positioning information according to the second coordinate and the three-dimensional model.
Optionally, the checking the target archive in the unmanned archive warehouse based on the scanning area includes:
acquiring the checking progress and electric quantity information of the first robot;
judging whether the first robot can complete the checking task or not based on the electric quantity information and the checking progress;
and if not, selecting a second robot to complete the checking task, wherein the second robot is the first robot without the checking task and/or the first robot which completes the checking task.
In a second aspect, the present application provides an intelligent checking device for an unmanned archive warehouse, which adopts the following technical scheme:
an intelligent inventory device for an unmanned archive warehouse, comprising:
the acquisition module is used for acquiring the inventory task;
a first determination module for determining a scan power of a first robot based on the inventory task;
a second determination module to determine a scan area of the first robot based on the scan power;
and the checking module is used for checking the target file in the unmanned file warehouse based on the scanning area to obtain a checking result.
Through adopting above-mentioned technical scheme, when needs carry out the check to unmanned archives warehouse, confirm the scanning region of robot through the check task that acquires, carry out the check to the target archives in the scanning region, constantly adjust the scanning region at the in-process that carries out the check to the realization is to the check of unmanned warehouse target archives, and compare with prior art, it has the advantage that improves check efficiency, the error rate is low, the check rate of accuracy height to carry out the check to the target archives through the robot moreover.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprising a processor, the processor coupled with a memory;
the processor is configured to execute the computer program stored in the memory, so as to enable the intelligent terminal to execute the intelligent unattended archive inventory method according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and execute the intelligent unattended archive inventory method according to any one of the first aspect.
Drawings
Fig. 1 is a schematic flowchart of an intelligent inventory method for an unmanned archive warehouse according to an embodiment of the present application.
Fig. 2 is a block diagram illustrating an intelligent checking apparatus for an unattended archive warehouse according to an embodiment of the present application.
Fig. 3 is a block diagram of a structure of an intelligent terminal according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
The embodiment of the application provides an intelligent inventory method for an unmanned archive warehouse, which can be executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a virtual machine or a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc.
Fig. 1 is a schematic flow chart of an intelligent inventory method for an unmanned archive warehouse according to an embodiment of the present application.
As shown in FIG. 1, the main flow of the method is described as follows (steps S101 to S104):
and S1O1, acquiring an inventory task.
In the embodiment, the unmanned archive warehouse comprises an intelligent compact shelf, an intelligent terminal and a plurality of first robots, a worker can remotely issue an inventory task to the intelligent terminal through the Internet, can also issue the inventory task in a manual input mode, and then obtains the inventory task through the intelligent terminal; and then the intelligent terminal controls the first robot and the intelligent compact shelf to act according to the checking task and performs checking.
Specifically, the checking task comprises rough checking and fine checking, wherein the rough checking is to judge whether the target file is in the unmanned file warehouse, and the fine checking is to determine the precise position of the target file in the unmanned file warehouse.
In this embodiment, the first robot is provided with a scanning device, each file has an RFID tag thereon, and the first robot scans the RFID tag through the scanning device, thereby completing the inventory task.
Step S102, determining the scanning power of the first robot based on the inventory task.
Specifically, an inventory area is determined based on an inventory task; acquiring current position information of a first robot and position information of a central point of an inventory area; determining a first distance between the first robot and a central point of the inventory area based on the current position information; judging whether the first distance is greater than a preset distance; if so, adjusting the scanning power of the first robot to the maximum scanning power, and controlling the first robot to move into the inventory area; if not, the scanning power is adjusted to the scanning power corresponding to the first distance.
In this embodiment, since each first robot is responsible for a different area, it is necessary to determine the checking area where the target file is located according to the type of the target file in the checking task, for example, if the target file is an economic type file, the area storing the economic type file is divided into the checking area, and if the target file is a legal type file, the area storing the legal type file is divided into the checking area.
After the checking area is determined, due to the fact that a plurality of intelligent compact shelves exist in the checking area, in order to conveniently check a target file in the checking area, the position of the central point of the checking area needs to be determined, the first distance from the central point of the first robot is determined according to the position information of the central point and the current position information of the first robot, the first distance is compared with a preset distance, the scanning power of the first robot is adjusted according to the comparison result, and the preset distance is the maximum distance capable of being scanned when the scanning power of the first robot is the maximum scanning power.
When the first distance is greater than the preset distance, the scanning power of the first robot needs to be adjusted to be maximum, and then the first robot is controlled to gradually move towards the central point according to the current position information of the first robot and the position information of the central point.
When the first distance is equal to the preset distance, the maximum scanning area of the first robot can fully cover the checking area, so that the target files in the checking area can be checked.
When the first distance is smaller than the preset distance, the scanning power of the first robot can be gradually adjusted according to the first distance, so that the scanning area of the first robot is adjusted, and the target file is accurately positioned to complete detailed inventory.
Further, controlling the first robot into the inventory area includes: planning a first travel route of a plurality of first robots based on the current position information and the position information of the central point of the inventory area; sequencing the plurality of first travel routes to obtain a first sequencing result; selecting an optimal traveling route based on the first sequencing result, wherein the optimal traveling route is the traveling route with the shortest distance; judging whether an inventory area in which other first robots are in inventory exists on the optimal travel route; if the first robot exists, second traveling routes of other first robots are obtained; adjusting the optimal travelling route based on the second travelling route to obtain a third travelling route; and controlling the first robot to move based on the third travel route.
In this embodiment, when the first distance is greater than the preset distance, the first robot needs to be controlled to move to the inventory area, and at this time, the traveling route of the first robot needs to be planned, so that the first robot reaches the inventory area most quickly.
For example, three first travel routes are planned from a first robot to a central point of an inventory area, the movement distances, which the first robot needs to move, of the three first travel routes are calculated respectively, the travel routes are sorted according to the movement distances to obtain first sorting results, the first travel route with the shortest movement distance is selected from the first sorting results to serve as an optimal travel route, and then the first robot is controlled to move to the inventory area according to the optimal travel route.
Further, before the process of controlling the first robot to move to the inventory area according to the optimal traveling route, if there is an inventory area where other first robots are inventory on the optimal traveling route, the optimal route needs to be adjusted according to second traveling routes of other first robots to obtain a third traveling route, so that the influence of the first robot on other first robots in the moving process is reduced.
However, when the moving distance of the third traveling route is greater than the moving distances of the remaining first traveling routes, the traveling routes need to be reordered to obtain a second ordering result, and then the optimal traveling route is selected from the second ordering result again until the optimal traveling route can meet the requirement that the first robot quickly reaches the inventory area.
Further, before controlling the first robot to move based on the third travel route, the method further comprises: acquiring the traveling speed and the moving distance of a traveling route of a first robot; determining the moving time of the first robot based on the moving distance and the traveling speed, wherein the moving time is the time when the first robot reaches the central point of the inventory area from the current position; acquiring the opening speed of the intelligent compact shelf in the inventory area; determining the opening time of the intelligent compact shelf based on the moving time and the opening speed; and controlling the intelligent compact shelf to be opened based on the opening time.
In this embodiment, in order to shorten the time for the first robot to check, the moving time of the first robot is determined according to the moving distance of the optimal traveling route and the traveling speed of the first robot, and then the intelligent compact shelving is opened in advance according to the moving time, thereby reducing the waiting time of the first robot.
For example, the moving distance is 36 meters, the moving speed is 6 meters/minute, the moving time of the first robot is 6 minutes, the opening speed of the intelligent compact shelf is 4 meters/minute, but the time for opening the intelligent compact shelf completely only needs 10 seconds, when the first robot has traveled 35 meters, the intelligent compact shelf starts to be opened, so that when the first robot reaches the checking area, the intelligent compact shelf is just opened completely, the checking of the target files in the checking area by the first robot is not affected, and the waiting time of the first robot is saved.
Step S103, determining a scanning area of the first robot based on the scanning power.
In this embodiment, the scanning area of the first robot is a spherical scanning area formed by taking the first robot as a center and the scanning distance corresponding to the scanning power as a radius.
For example, if the maximum scanning distance of the first robot is 30 meters and the minimum scanning distance is 5 centimeters, the maximum scanning area of the first robot is a sphere scanning area with a radius of 30 meters from the center of the first robot, and the minimum scanning area of the first robot is a sphere scanning area with a radius of 5 centimeters from the center of the first robot.
After the first robot obtains the inventory task, the first robot scans the maximum scanning area first and then gradually reduces the scanning area to complete the positioning of the target file.
And step S104, checking the target file in the unmanned file warehouse based on the scanning area to obtain a checking result.
Specifically, a first file label in an inventory task is obtained; acquiring all file label groups in a scanning area; comparing the first file label with the file label group one by one; if the first file label exists in the file label group, accurately positioning the first file label to obtain positioning information, and taking the positioning information as an inventory result; and if the first label does not exist in the file label group, acquiring related information of the file represented by the first file label, wherein the related information comprises the borrower and the borrowing time, and taking the related information as an inventory result.
In this embodiment, when the first robot reaches the checking area, the file tag group in the checking area is compared with the first file tag of the target file, and when rough checking is performed, if the file tag group has the first file tag, rough checking is completed, and precise checking is performed, that is, the first file tag is precisely positioned, so as to obtain positioning information.
If the first file label does not exist in the file label group, the related information of the target file represented by the first file label needs to be acquired; for example, the target file is newspaper in seventy-months of 2021, but when rough inventory is performed, it is found that there is no target file in the unmanned archive warehouse, related information of the target file needs to be retrieved, for example, a borrower is a newspaper company, the borrowing time is from seventy-months of 2022 years to december of 2022 years, but the current inventory time is eighty-months of 2022 years, at this time, the target file is not returned, and the intelligent terminal takes the borrower and the borrowing time as inventory results of the target file.
Further, the accurate positioning of the first file label is performed, and the obtaining of the positioning information includes: establishing a three-dimensional model based on the intelligent compact shelf; acquiring a first coordinate of a first robot on a three-dimensional model; determining second coordinates of the first document tag based on the scan area and the first coordinates; and determining the positioning information according to the second coordinates and the three-dimensional model.
When the first robot carries out fine inventory on the target archive, a rectangular coordinate system is established by using the central point of the intelligent compact shelf, a second coordinate of the first archive label is determined according to the first coordinate of the first robot and the second distance between the first archive label and the first robot, for example, the first coordinate of the first robot is (1,5, -2), the straight-line distance between the first robot and the first archive label is 0.5 m, the second coordinate of the target archive represented by the first archive label can be determined to be (-2,5,2), and at the moment, the positioning information of the target archive can be found in the three-dimensional model through the second coordinate, and then the positioning information is output as an inventory result.
Further, the method further comprises: acquiring the checking progress and electric quantity information of the first robot; judging whether the first robot can complete the checking task or not based on the electric quantity information and the checking progress; and if not, selecting a second robot to complete the checking task, wherein the second robot is the first robot without the checking task and/or the first robot which completes the checking task.
In this embodiment, when the first robot checks the target file, the electric quantity information of the first robot is acquired in real time, the checking task is planned according to the electric quantity information and the checking progress of the first robot, and when the electric quantity of the first robot is not enough to support hundreds of percent of completion of the checking task, the second robot needs to be selected to complete the checking task, so as to ensure effective performance and checking efficiency of the checking task, for example: currently, the checking progress of the first robot is fifty percent, but the electric quantity of the first robot is less than ten percent, the most suitable first robot is selected from the first robots without checking tasks and/or the first robots completing the checking tasks to serve as a second robot, and the second robot is adopted to complete the checking tasks; in this embodiment, the optimal second robot is the first robot that has the most power and has not performed the inventory task.
Fig. 2 is a block diagram of an intelligent inventory apparatus 200 for an unattended archive repository according to an embodiment of the present disclosure.
As shown in fig. 2, the intelligent checking apparatus 200 for an unattended archive warehouse mainly includes:
an obtaining module 201, configured to obtain an inventory task;
a first determination module 202 for determining a scan power of the first robot based on the inventory task;
a second determination module 203 for determining a scan area of the first robot based on the scan power;
and the checking module 204 is configured to perform checking on the target archive in the unmanned archive warehouse based on the scanning area to obtain a checking result.
As an optional implementation manner of this embodiment, the determining, by the first determining module 202, the scan power of the first robot based on the inventory task further specifically includes: determining an inventory area based on the inventory task; acquiring current position information of a first robot and position information of a central point of an inventory area; determining a first distance between the first robot and a central point of the inventory area based on the current position information; judging whether the first distance is greater than a preset distance; if so, adjusting the scanning power of the first robot to the maximum scanning power, and controlling the first robot to move towards the checking area; if not, the scanning power is adjusted to the scanning power corresponding to the first distance.
As an optional implementation manner of this embodiment, the first determining module 202 is further specifically configured to control the first robot to enter the inventory area, and includes: planning a first travel route of a plurality of first robots based on the current position information and the position information of the central point of the inventory area; sequencing the plurality of first travel routes to obtain a first sequencing result; selecting an optimal traveling route based on the first sequencing result, wherein the optimal traveling route is the first traveling route with the shortest distance; judging whether an inventory area in which other first robots are in inventory exists on the optimal travel route; if the first robot exists, second traveling routes of other first robots are obtained; adjusting the optimal travelling route based on the second travelling route to obtain a third travelling route; and controlling the first robot to move based on the third travel route.
As an optional implementation manner of this embodiment, the first determining module 202 is further specifically configured to, before controlling the first robot to move based on the third travel route, further include: acquiring the traveling speed and the moving distance of a traveling route of a first robot; determining the moving time of the first robot based on the moving distance and the traveling speed, wherein the moving time is the time when the first robot reaches the central point of the inventory area from the current position; acquiring the opening speed of the intelligent compact shelf in the inventory area; determining the opening time of the intelligent compact shelf based on the moving time and the opening speed; and controlling the intelligent compact shelf to be opened based on the opening time.
As an optional implementation manner of this embodiment, the checking module 204 is further specifically configured to perform checking on archive labels in the unmanned archive warehouse based on the scanning area, and obtaining a checking result includes: acquiring a first file label in an inventory task; acquiring all file label groups in a scanning area; comparing the first file label with the file label group one by one; if the first file label exists in the file label group, accurately positioning the first file label to obtain positioning information, and taking the positioning information as an inventory result; and if the first label does not exist in the file label group, acquiring relevant information of the target file represented by the first file label, wherein the relevant information comprises the borrower and the borrowing time, and taking the relevant information as an inventory result.
As an optional implementation manner of this embodiment, the checking module 204 is further specifically configured to perform accurate positioning on the first file tag, and the obtaining of the positioning information includes: establishing a three-dimensional model based on the intelligent compact shelf; establishing a rectangular coordinate system based on the three-dimensional model; acquiring a first coordinate of a first robot on a rectangular coordinate system; determining a second coordinate of the first file label based on the scanning area and the first coordinate; and determining the positioning information according to the second coordinates and the three-dimensional model.
As an optional implementation manner of this embodiment, the inventory module 204 is further specifically configured to inventory the target archive in the unmanned archive warehouse based on the scanning area, and includes: acquiring the checking progress and electric quantity information of the first robot; judging whether the first robot can complete the checking task or not based on the electric quantity information and the checking progress; and if not, selecting a second robot to complete the checking task, wherein the second robot is the first robot without the checking task and/or the first robot which completes the checking task.
In one example, the modules in any of the above apparatus may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), or a combination of at least two of these integrated circuit forms.
For another example, when a module in a device may be implemented in the form of a processing element scheduler, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of invoking programs. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Fig. 3 is a block diagram of an intelligent terminal 300 according to an embodiment of the present disclosure.
As shown in FIG. 3, the smart terminal 300 includes a processor 301 and memory 302, and may further include an information input/information output (I/O) interface 303, one or more of a communications component 304, and a communications bus 305.
The processor 301 is configured to control the overall operation of the intelligent terminal 300, so as to complete all or part of the above-mentioned steps of the intelligent checking method for the human archive warehouse; the memory 302 is used to store various types of data to support operation at the smart terminal 300, which may include, for example, instructions for any application or method operating on the smart terminal 300, as well as application-related data. The Memory 302 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as one or more of Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic or optical disk.
The I/O interface 303 provides an interface between the processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the intelligent terminal 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 304 may include: wi-Fi part, bluetooth part, NFC part.
The intelligent terminal 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is configured to perform the above-described method for intelligent inventory of the unattended archive.
The communication bus 305 may include a path to transfer information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.
The smart terminal 300 may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), etc., and a fixed terminal such as a digital TV, a desktop computer, etc., and may also be a server, etc.
The application also provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above intelligent inventory method for an unmanned archive warehouse.
The computer-readable storage medium may include: a U-disk, a portable hard disk, a read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.
Claims (10)
1. An intelligent checking method for an unmanned archive warehouse is characterized by comprising the following steps:
acquiring an inventory task;
determining a scan power of a first robot based on the inventory task;
determining a scan area of the first robot based on the scan power;
and checking the target files in the unmanned file warehouse based on the scanning area to obtain a checking result.
2. The method of claim 1, wherein determining the scan power of the first robot based on the inventory task comprises:
determining an inventory area based on the inventory task;
acquiring current position information of the first robot and position information of a central point of the checking area;
determining a first distance of the first robot from a center point of an inventory area based on the current location information;
judging whether the first distance is greater than a preset distance;
if so, adjusting the scanning power of the first robot to the maximum scanning power, and controlling the first robot to move into the inventory area;
if not, the scanning power is adjusted to be the scanning power corresponding to the first distance.
3. The method of claim 2, wherein the controlling the first robot into the inventory zone comprises:
planning a plurality of first travel routes of the first robot based on the current position information and the position information of the central point of the counting area;
sequencing the plurality of first travel routes to obtain a first sequencing result;
selecting an optimal traveling route based on the first sequencing result, wherein the optimal traveling route is a first traveling route with the shortest distance;
judging whether an inventory area in which other first robots are in inventory exists on the optimal travel route;
if the first robot exists, second traveling routes of other first robots are obtained;
adjusting the optimal travelling route based on the second travelling route to obtain a third travelling route;
controlling the first robot to move based on the third travel route.
4. The method of claim 3, wherein prior to said controlling said first robot to move based on said third travel route, said method further comprises:
acquiring the traveling speed of the first robot and the moving distance of the traveling route;
determining a movement time of the first robot based on the movement distance and the travel speed, the movement time being a time when the first robot reaches the central point of the inventory area from the current position;
acquiring the opening speed of the intelligent compact shelf in the inventory area;
determining an opening time of the intelligent compact shelving based on the moving time and the opening speed;
and controlling the intelligent compact shelf to be opened based on the opening time.
5. The method of claim 1, wherein the inventorying archive labels in the unmanned archive repository based on the scan area, the obtaining an inventory result comprising:
acquiring a first file label in an inventory task;
acquiring all file label groups in the scanning area;
comparing the first file label with the file label group one by one;
if the first file label exists in the file label group, accurately positioning the first file label to obtain positioning information, and taking the positioning information as an inventory result;
and if the first label does not exist in the file label group, acquiring related information of a target file represented by the first file label, wherein the related information comprises a borrower and borrowing time, and taking the related information as an inventory result.
6. The method of claim 5, wherein the accurately positioning the first file tag, and obtaining the positioning information comprises:
establishing a three-dimensional model based on the intelligent compact shelf;
establishing a rectangular coordinate system based on the three-dimensional model;
acquiring a first coordinate of the first robot on the rectangular coordinate system;
determining second coordinates of the first document tag based on the scan area and the first coordinates;
and determining positioning information according to the second coordinate and the three-dimensional model.
7. The method of claim 1, wherein the inventorying of the target profile in the unmanned profile repository based on the scan area comprises:
acquiring the checking progress and electric quantity information of the first robot;
judging whether the first robot can complete the checking task or not based on the electric quantity information and the checking progress;
and if not, selecting a second robot to complete the checking task, wherein the second robot is the first robot without the checking task and/or the first robot which completes the checking task.
8. The utility model provides an unmanned archive storehouse intelligence device of checing which characterized in that includes:
the acquisition module is used for acquiring the inventory task;
a first determination module for determining a scan power of a first robot based on the inventory task;
a second determination module to determine a scan area of the first robot based on the scan power;
and the checking module is used for checking the target file in the unmanned file warehouse based on the scanning area to obtain a checking result.
9. An intelligent terminal, comprising a processor coupled to a memory;
the processor is configured to execute the computer program stored in the memory to cause the intelligent terminal to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to carry out the method of any one of claims 1 to 7.
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| PCT/CN2023/113589 WO2024060896A1 (en) | 2022-09-24 | 2023-08-17 | Intelligent inventory-taking method and apparatus for unmanned archive warehouse, and smart terminal and storage medium |
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| WO2024060896A1 (en) * | 2022-09-24 | 2024-03-28 | 北京融安特智能科技股份有限公司 | Intelligent inventory-taking method and apparatus for unmanned archive warehouse, and smart terminal and storage medium |
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| WO2024060896A1 (en) * | 2022-09-24 | 2024-03-28 | 北京融安特智能科技股份有限公司 | Intelligent inventory-taking method and apparatus for unmanned archive warehouse, and smart terminal and storage medium |
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