CN112967001A - Method, device and system for generating article checking information and checking vehicle - Google Patents
Method, device and system for generating article checking information and checking vehicle Download PDFInfo
- Publication number
- CN112967001A CN112967001A CN202110281124.1A CN202110281124A CN112967001A CN 112967001 A CN112967001 A CN 112967001A CN 202110281124 A CN202110281124 A CN 202110281124A CN 112967001 A CN112967001 A CN 112967001A
- Authority
- CN
- China
- Prior art keywords
- warehousing
- information
- article
- label
- generating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
- G06K7/10366—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves the interrogation device being adapted for miscellaneous applications
- G06K7/10376—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves the interrogation device being adapted for miscellaneous applications the interrogation device being adapted for being moveable
Abstract
The embodiment of the disclosure discloses a method, a device and a system for generating article checking information and a checking vehicle. One embodiment of the method comprises: acquiring at least one article warehousing information, wherein the article warehousing information comprises tags carried by articles and corresponding positioning information; acquiring a preset storage corresponding relation table, wherein the storage corresponding relation table is used for representing the corresponding relation between the storage position identification and the storage position; for the article warehousing information in the at least one article warehousing information, generating an incidence relation between a label in the article warehousing information and a warehousing position identification corresponding to a matched warehousing position in response to determining that the warehousing corresponding relation table has the warehousing position matched with the positioning information in the article warehousing information; based on the association, item inventory information is generated. The implementation mode realizes the automation of the article checking process and improves the article checking efficiency.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of intelligent warehousing, in particular to a method, a device and a system for generating article checking information and a checking vehicle.
Background
With the rapid development of internet technology, smart storage technology is also becoming more and more widely used. In the field of large-scale warehousing, if the inventory information of the commodities is inaccurate, the quantity, names and other errors of the commodities can be caused when the commodities are selected and taken out of the warehouse, and then a large amount of exceptions are generated, so that the requirement for executing targeted processing is generated, the whole warehouse-out efficiency is reduced, and the customer experience is influenced. Therefore, the inventory of the large commodities in the warehouse is the guarantee for guaranteeing the accuracy of commodity inventory and the efficient operation of the e-commerce system.
In the prior art, the large commodities are usually checked manually in the warehouse, after the checking task is received by corresponding personnel, the corresponding personnel scan the commodities and confirm the commodity logistics attributes and the storage positions in the corresponding storage positions, and the actions are repeated until the checking task of all the commodities and the corresponding storage positions is completed, so that the whole process is time-consuming and labor-consuming.
Disclosure of Invention
Embodiments of the present disclosure propose a method, apparatus, system and an inventory truck for generating item inventory information.
In a first aspect, an embodiment of the present disclosure provides a method for generating item inventory information, the method including: acquiring at least one article warehousing information, wherein the article warehousing information comprises tags carried by articles and corresponding positioning information; for the article warehousing information in the at least one article warehousing information, generating an incidence relation between a label in the article warehousing information and a warehousing position identification corresponding to the matched warehousing position in response to determining that a warehousing position matched with the positioning information in the article warehousing information exists in a preset warehousing corresponding relation table, wherein the warehousing corresponding relation table is used for representing the corresponding relation between the warehousing position identification and the warehousing position; and generating item inventory information based on the association relationship.
In a second aspect, an embodiment of the present disclosure provides an apparatus for generating item inventory information, the apparatus including: the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is configured to acquire at least one item warehousing information, and the item warehousing information comprises tags carried by items and corresponding positioning information; the first generation unit is configured to generate an association relationship between a label in the article warehousing information and a warehousing position identifier corresponding to a matched warehousing position in response to determining that the warehousing corresponding relationship table has a warehousing position matched with the positioning information in the article warehousing information, wherein the warehousing corresponding relationship table is used for representing the corresponding relationship between the warehousing position identifier and the warehousing position; a second generation unit configured to generate item inventory information based on the association relationship.
In a third aspect, an embodiment of the present application provides a system for generating item inventory information, where the system includes: the system comprises a server side, a warehouse management system and a database, wherein the server side is configured to receive an article checking task issued by the warehouse management system, and the article checking task comprises checking initial position information used for indicating an initial position of the article checking task; sending an article checking task to an article checking vehicle; receiving article checking information sent by an article checking vehicle; an inventory cart configured to move to a position indicated by inventory starting position information included in the item inventory task; and performing the method as described in any implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fifth aspect, embodiments of the present disclosure provide an item checking cart, including: one or more processors; at least one label detection device arranged in different positions; a vehicle body frame; a storage device having one or more programs stored thereon; a positioning device; a mobile device; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In some embodiments, the tag comprises a radio frequency identification tag and the tag detection device comprises an antenna and an antenna guide, the antenna guide being secured to the body frame.
In a sixth aspect, embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, which when executed by a processor, implements the method as described in any of the implementations of the first aspect.
According to the method, the device and the system for generating the article checking information and the checking vehicle, the article checking information containing the association relation between the label carried by the article and the storage position identification is generated through matching between the actually acquired label carried by the article and the corresponding positioning information and the corresponding relation between the preset storage position identification and the storage position. The automation of the article checking process is realized, the article checking efficiency is improved, and the labor cost is saved.
Drawings
Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present disclosure may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for generating item inventory information according to the present disclosure;
FIG. 3 is a schematic diagram of one application scenario of a method for generating item inventory information, in accordance with an embodiment of the present disclosure;
FIG. 4 is a flow diagram of yet another embodiment of a method for generating item inventory information according to the present disclosure;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for generating item inventory information according to the present disclosure;
FIG. 6 is a timing diagram of interactions between various devices in one embodiment of a system for generating item inventory information according to the present application;
FIG. 7 is a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present application;
fig. 8 is a schematic structural view of one embodiment of an item inventory cart according to the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary architecture 100 to which the method for generating item inventory information or the apparatus for generating item inventory information of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, a network 103, and a server 104. The network 103 serves as a medium for providing communication links between the terminal devices 101, 102 and the server 104. Network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 101, 102 interact with a server 104 via a network 103 to receive or send messages or the like. The terminal apparatuses 101 and 102 may be hardware or software. When the terminal devices 101, 102 are hardware, they may be various electronic devices having an electronic tag identification function and supporting data transmission, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, mobile robots, and the like. When the terminal apparatuses 101 and 102 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 104 may be a server providing various services, such as a background server issuing an inventory task for the terminal devices 101 and 102. The background server can issue an article checking task to the terminal equipment and receive article checking information uploaded by the terminal equipment.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the method for generating the item inventory information provided by the embodiment of the present disclosure is generally executed by the terminal devices 101 and 102, and accordingly, the apparatus for generating the item inventory information is generally disposed in the terminal devices 101 and 102.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, a flow 200 of one embodiment of a method for generating item inventory information in accordance with the present disclosure is shown. The method for generating item inventory information includes the steps of:
In this embodiment, an executing entity (such as the terminal devices 101 and 102 shown in fig. 1) of the method for generating the item inventory information may acquire at least one item warehousing information through a wired connection manner or a wireless connection manner. The article warehousing information may include tags carried by the articles and corresponding positioning information. The positioning information may be used to represent the position of the article or the carried tag.
It should be noted that, for large storage articles, the label carried by the article may be a label on the outer package of the article. The tag may take various forms that can be recognized by the electronic device. As an example, the above-mentioned label may be a text that can be recognized by an OCR (Optical Character Recognition) technique. As yet another example, the tag may be an RFID (Radio Frequency Identification) tag.
Alternatively, the positioning information may be determined by, for example, a relationship between a device for identifying the tag and a current position. As an example, when an antenna installed on the automatic polling car is used to identify an RFID tag, the location of the automatic polling car when the RFID tag is detected may be determined as the positioning information corresponding to the tag. As another example, when an antenna installed at a high position on the automatic polling car is used to identify an RFID tag, the position information obtained by adding a preset offset (e.g., the installation height of the antenna) to the height of the position of the automatic polling car when the RFID tag is detected may be determined as the positioning information corresponding to the tag.
In some alternative implementations of this embodiment, the items may be layered in different horizontal positions and/or different heights. As an example, the above-described horizontal position and height may be represented using a three-dimensional coordinate system.
Based on this, the execution body can obtain at least one article warehousing information according to the following steps:
in a first step, the signal strength of the detected label carried by at least one article is obtained by a first preset number of label detectors arranged in layers according to different horizontal positions and/or different heights.
In these implementations, the first predetermined number of label detectors may be matched to the manner in which the articles are placed. Wherein the tag detector may be matched to the tag. As an example, the tag may be a text tag, and the tag detector may be a camera. As yet another example, the tag may be an RFID tag, and the tag detector may be an antenna.
Optionally, the first predetermined number of label detectors may be consistent with the manner of placing the articles. As an example, the articles may be arranged in two rows at different horizontal positions (e.g., left and right sides of the aisle), and the plurality of label detectors may be arranged in left and right positions. As yet another example, the items may be placed on three shelves at different heights, and the label detectors may be placed at different heightsAnd arranged in a middle and lower arrangement. Generally, the arrangement height of the label detectors matches the placement height of the articles to ensure that the label detectors can effectively detect labels. For example, TX can be usedjaThe label detector described above is characterized. Wherein j ═ 1,2,3 can represent lower, middle, and upper in height, respectively; a ═ 1,2 may represent the left and right sides of the terminal movement direction, respectively.
And secondly, determining the corresponding relation between the corresponding label and the label detector according to the detected signal intensity.
In these implementations, the execution subject may determine the correspondence between the tag corresponding to the detected signal strength and the tag detector in various ways. As an example, for each tag detector, the executing entity may select a tag having a signal strength greater than a preset signal strength threshold as the tag corresponding to the tag detector. As yet another example, in response to determining that the tag detector detects more than one signal above a preset signal strength threshold, the performing entity may select the tag with the greatest signal strength as the tag corresponding to the tag detector.
And thirdly, generating positioning information corresponding to each corresponding label according to the height and the position of the first preset number of label detectors.
In these implementations, since the tag detectors are usually close to the tags, the executing body can usually generate the positioning information corresponding to each corresponding tag according to the heights and positions of the first preset number of tag detectors. As an example, the executing body may determine the heights and positions of the first preset number of label detectors as the positioning information corresponding to each corresponding label. As another example, the executing body may determine, as the positioning information corresponding to each corresponding tag, position information obtained by increasing a preset offset amount from the height and the position of the first preset number of tag detectors toward the orientation of the tag detectors.
Based on the optional implementation mode, the mode consistent with the article placing mode can be used as the arrangement mode of the label detector, so that the labels carried by the articles and the corresponding positioning information can be more conveniently acquired.
In this embodiment, for the article warehousing information in the at least one article warehousing information acquired in step 201, in response to determining that the preset warehousing correspondence table has a warehousing position matching the positioning information in the article warehousing information, the execution subject may generate an association relationship between the tag in the article warehousing information and the warehousing position identifier corresponding to the matching warehousing position.
In this embodiment, the execution subject may obtain a preset warehousing correspondence table in advance. The warehousing correspondence table can be used for representing the correspondence between the warehousing location identification and the warehousing location. As an example, the warehouse correspondence table may be a bin number that is input by a technician in advance and corresponds to each coordinate position in the layout of the warehouse.
In some alternative implementations of the present embodiment, the warehousing locations may be arranged in different horizontal positions. As an example, the bin identities may be numbered in order from "001" in order from east to west.
In some alternative implementations of the present embodiment, the warehousing locations may be arranged in different levels. As an example, the bin flag may begin to be numbered from "A" to "Z" in order from low to high. Optionally, based on the above-described alternative implementations, "001A" may be used to characterize the storage slots of the east-most tier of racks.
In this embodiment, the execution subject may first determine whether there is a warehousing position matching the positioning information in the article warehousing information in the preset warehousing correspondence table in various ways. As an example, the executing entity may compare the positioning information in the article warehousing information obtained in step 201 with the warehousing position in the preset warehousing correspondence table to obtain a comparison result. The comparison result may be, for example, a distance between the two indicated positions. According to whether the comparison result is smaller than a preset threshold value or not, the execution main body can determine whether the storage position matched with the positioning information in the article storage information exists in the preset storage corresponding relation table or not. In response to determining that the storage location identifier exists, the execution subject may generate an association relationship between the tag in the article storage information and the storage location identifier corresponding to the matched storage location.
And step 203, generating item inventory information based on the association relation.
In this embodiment, the execution body may generate the item inventory information in various ways based on the association relationship generated in step 203. As an example, the execution subject may arrange the plurality of association relations into a corresponding relation table, so as to generate the item count information for representing the corresponding relation between the plurality of item labels and the storage location identifier.
In some optional implementation manners of this embodiment, based on that the warehousing positions are arranged according to different horizontal positions, the execution main body may generate an association relationship between a warehousing position identifier corresponding to the warehousing position and a tag corresponding to the positioning information according to the following steps:
first, whether a level matching conflict exists in the generated association relationship is determined.
In these implementations, the execution subject may determine whether there is a level matching conflict in the association generated in step 202 in various ways. The level matching conflict can be used for representing that the same label has an association relation with the storage position identifications corresponding to different horizontal levels. That is, the execution subject may determine whether there is a label associated with two or more warehouse location identifiers corresponding to different horizontal positions at the same time.
The generated association relationship may include an association relationship generated previously. For example, the automatic vehicle for performing inventory may generate 10 sets of association relationships at the position a, and when the automatic vehicle for performing inventory travels to the position B and then generates 6 sets of association relationships, the number of association relationships for determining whether or not there is a horizontal matching conflict may be 16 sets at the maximum.
And secondly, in response to the fact that the horizontal matching conflict exists, selecting a first target storage position identification from the storage position identifications with the association relation according to the signal intensity of the label corresponding to the horizontal matching conflict when the detector is respectively located at the position corresponding to each storage position identification with the association relation.
In these implementations, the execution subject may select the first target storage location identifier in various manners. As an example, the execution subject may select the storage location identifier with the largest signal strength as the first target storage location identifier. As another example, when the difference between the signal strengths of the two is smaller than the preset difference, the executing entity may determine the storage location identifier in the association relationship generated first as the first target storage location identifier.
Optionally, based on the above alternative implementation, the warehousing locations may be symmetrically arranged along an aisle in the warehouse. Thus, the horizontal direction difference may include storage locations on both sides of the aisle, respectively.
Thirdly, generating an incidence relation between the label corresponding to the horizontal matching conflict and the first target warehousing position identification; and deleting other association relations corresponding to the labels corresponding to the level matching conflicts.
In these implementations, the execution subject may generate, in various ways, an association relationship between the tag corresponding to the horizontal matching conflict and the first target warehousing location identifier selected in the second step; and deleting other association relations corresponding to the labels corresponding to the horizontal matching conflicts.
And fourthly, generating the item checking information based on the reserved association relation.
In these implementations, the execution subject may generate the item inventory information based on the association relationship that is retained after the association relationship is processed in the third step.
Based on the optional implementation mode, the scheme can further confirm the incidence relation with the level matching conflict, and further verify the incidence relation on the basis of ensuring the one-to-one correspondence relation between the label carried by the article and the storage position identification, so that the accuracy of the article checking information is improved.
In some optional implementation manners of this embodiment, based on the warehousing positions being arranged in different height levels, the execution main body may generate an association relationship between a warehousing position identifier corresponding to the warehousing position and a tag corresponding to the positioning information according to the following steps:
first, whether a high matching conflict exists in the generated association relationship is determined.
In these implementations, the execution subject may determine whether there is a high-matching conflict in the association generated in step 202 in various ways. The height matching conflict can be used for representing that the same label has an association relation with the warehousing position identifications corresponding to different heights. That is, the execution subject may determine whether there are tags associated with two or more warehouse location identifiers corresponding to different heights at the same time.
The generated association relationship may include an association relationship generated previously. For example, the automatic vehicle for performing inventory may generate 10 sets of association relationships at the position a, and when the automatic vehicle for performing inventory travels to the position B and then generates 6 sets of association relationships, the number of association relationships for determining whether or not there is a height matching conflict may be 16 sets at the maximum.
And secondly, in response to the fact that the height matching conflict exists, selecting a second target storage position identification from the storage position identifications with the association relation according to the signal intensity of the label corresponding to the height matching conflict when the detector is respectively located at the position corresponding to each storage position identification with the association relation.
In these implementations, the execution subject may select the second target storage location identifier in various manners. As an example, the execution subject may select the storage location identifier with the largest signal strength as the second target storage location identifier. As another example, when the difference between the signal strengths of the two is smaller than the preset difference, the executing entity may determine the storage location identifier with the lowest correlation as the second target storage location identifier.
Thirdly, generating an incidence relation between the label corresponding to the height matching conflict and the second target warehousing position identification; and deleting other association relations corresponding to the labels corresponding to the height matching conflicts.
In these implementations, the execution subject may generate, in various ways, an association relationship between the tag corresponding to the height matching conflict and the second target warehousing location identifier selected in the second step; and deleting other association relations corresponding to the labels corresponding to the height matching conflicts.
And fourthly, generating the item checking information based on the reserved association relation.
In these implementations, the execution subject may generate the item inventory information based on the association relationship that is retained after the association relationship is processed in the third step.
Based on the optional implementation mode, the scheme can further confirm the incidence relation with the height matching conflict, and further verify the incidence relation on the basis of ensuring the one-to-one correspondence between the labels carried by the articles and the storage position identification, so that the accuracy of the article checking information is improved.
In some optional implementations of this embodiment, the executing body may further continue to perform the following steps:
and step 204, sending the item checking information to the target terminal.
In these implementations, the execution body may send the item inventory information to the target. The target terminal may be, for example, a background server of the automatic inventory system, or a terminal used by a person responsible for the inventory work, which is not limited herein.
And step 205, responding to the received item re-checking task sent by the target end, and continuing to execute the method for generating the item checking information.
In these implementations, in response to receiving the task of re-inventorying the item sent by the target in step 204, the method for generating the item inventorying information described above is continuously performed.
Based on the optional implementation mode, the scheme can automatically execute the task of checking the articles for multiple times, so that the efficiency and the accuracy of checking the articles stored in a large scale are improved.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of a method for generating item inventory information according to an embodiment of the present disclosure. In the application scenario of fig. 3, the automatic inventory car 301 may acquire at least one item warehousing information 302 using the tag detector 3011. The article warehousing information 302 may include "tag 1" and corresponding positioning information "location 1", "tag 2" and corresponding positioning information "location 2", "tag 3" and corresponding positioning information "location 3". The automatic checking vehicle 301 may further obtain a preset storage corresponding relationship table 303 in advance. Then, for the article warehousing information in the at least one article warehousing information 302, in response to determining that the warehousing positions matching with the positioning information "place 1", "place 2", and "place 3" exist in the preset warehousing correspondence table 303, the automatic checking vehicle 301 may generate an association relationship between "tag 1" and "0018", an association relationship between "tag 2" and "0019", and an association relationship between "tag 3" and "0020". Finally, the automatic inventory cars 303 may aggregate based on the association to generate item inventory information 304.
At present, one of the prior art is generally manual checking, which results in high labor cost and low efficiency. In the method provided by the embodiment of the disclosure, the actually obtained matching between the tag carried by the article and the corresponding positioning information and the corresponding relationship between the preset storage location identifier and the storage location is used to generate the article checking information including the association relationship between the tag carried by the article and the storage location identifier. The automation of the article checking process is realized, the article checking efficiency is improved, and the labor cost is saved.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for generating item inventory information is shown. The flow 400 of the method for generating item inventory information includes the steps of:
In this embodiment, for the article warehousing information in the at least one article warehousing information acquired in step 401, an executing entity (e.g., the terminal device 101, 102 shown in fig. 1) of the method for generating the article counting information may first determine whether there is a warehousing position in the preset warehousing correspondence table where a distance between the indicated horizontal position and the horizontal position indicated by the positioning information in the article warehousing information is smaller than a preset threshold. The horizontal position may be, for example, a two-dimensional plane position containing no height information, which may be represented by two-dimensional coordinates (x, y). In response to determining that the storage location identifier exists, the execution subject may generate an association relationship between the tag in the article storage information and the storage location identifier corresponding to the matched storage location.
It should be noted that the warehousing correspondence table may be consistent with the corresponding description in the foregoing embodiments, and is not described herein again.
Step 401 and step 403 are respectively consistent with step 201 and step 203 and their optional implementations in the foregoing embodiment, and the above descriptions for step 201 and step 203 and their optional implementations also apply to step 401 and step 403, which are not described herein again.
As can be seen from fig. 4, the flow 400 of the method for generating the article count information in the embodiment represents a step of determining the association relationship between the tag in the article warehousing information and the warehousing location identifier corresponding to the matched warehousing location according to the distance between the horizontal locations. Therefore, because the amplitude of the height change in the article checking process is usually not large, the scheme described in this embodiment can simplify the calculation of the multidimensional distance into the calculation of the horizontal distance, thereby improving the matching speed and further improving the efficiency of article checking.
With further reference to fig. 5, as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of an apparatus for generating item inventory information, which corresponds to the method embodiment shown in fig. 2 or fig. 4, and which may be applied in various electronic devices in particular.
As shown in fig. 5, the apparatus 500 for generating item inventory information provided by the present embodiment includes an acquisition unit 501, a first generation unit 502, and a second generation unit 503. The acquiring unit 501 is configured to acquire at least one item warehousing information, where the item warehousing information includes a tag carried by an item and corresponding positioning information; a first generating unit 502, configured to, for the article warehousing information in the at least one article warehousing information, generate an association relationship between a tag in the article warehousing information and a warehousing position identifier corresponding to a matched warehousing position in response to determining that a warehousing position matching the positioning information in the article warehousing information exists in a warehousing correspondence table, where the warehousing correspondence table is used for representing a correspondence between the warehousing position identifier and the warehousing position; a second generating unit 503 configured to generate item inventory information based on the association relationship.
In the present embodiment, in the apparatus 500 for generating item inventory information: the specific processing of the obtaining unit 501, the first generating unit 502, and the second generating unit 503 and the technical effects thereof can refer to the related descriptions of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not repeated herein.
In some alternative implementations of this embodiment, the items may be layered in different horizontal positions and/or different heights. The above-mentioned obtaining unit 501 may be further configured to: acquiring the signal intensity of the detected label carried by at least one article through a first preset number of label detectors which are arranged according to different horizontal positions and/or different heights in a layered mode; determining the corresponding relation between the corresponding label and the label detector according to the detected signal intensity; and generating positioning information corresponding to each corresponding label according to the height and the position of the first preset number of label detectors.
In some optional implementations of the present embodiment, the first generating unit 502 may be further configured to: and generating an association relation between the label in the article warehousing information and the warehousing position identification corresponding to the matched warehousing position in response to determining that the warehousing position with the distance between the indicated horizontal position and the horizontal position indicated by the positioning information in the article warehousing information smaller than a preset threshold exists in the warehousing correspondence table.
In some alternative implementations of the present embodiment, the warehousing locations may be arranged in different horizontal positions. The second generating unit 503 may be further configured to: determining whether a horizontal matching conflict exists in the generated association relationship, wherein the horizontal matching conflict is used for representing that the same label has the association relationship with the warehousing position identifications corresponding to different horizontal positions; in response to the fact that the horizontal matching conflict exists, selecting a first target warehousing position identification from the warehousing position identifications with the association relation according to the signal intensity of the label corresponding to the horizontal matching conflict when the detector is respectively located at the position corresponding to each warehousing position identification with the association relation; generating an incidence relation between the label corresponding to the horizontal matching conflict and the first target warehousing location identification; deleting other association relations corresponding to the labels corresponding to the horizontal matching conflicts; and generating item inventory information based on the reserved association relationship.
In some optional implementations of this embodiment, the warehousing positions are arranged according to different horizontal positions, including: the storage locations are symmetrically arranged along aisles in the warehouse.
In some alternative implementations of the present embodiment, the warehousing locations may be arranged in different levels. The second generating unit 503 may be further configured to: determining whether a height matching conflict exists in the generated association relationship, wherein the height matching conflict is used for representing that the same label has the association relationship with the warehousing position identifications corresponding to different heights; in response to the fact that the height matching conflict exists, selecting a second target warehousing position identification from the warehousing position identifications with the association relation according to the signal intensity of the label corresponding to the height matching conflict when the detector is respectively located at the position corresponding to each warehousing position identification with the association relation; generating an incidence relation between the label corresponding to the height matching conflict and the second target warehousing location identification; deleting other association relations corresponding to the labels corresponding to the height matching conflicts; and generating item inventory information based on the reserved association relationship.
In some optional implementations of this embodiment, the apparatus 500 for generating item inventory information may further include: a transmitting unit (not shown in the drawings) configured to transmit the item inventory information to the target terminal; and the execution unit (not shown in the figure) is configured to respond to the receiving of the object re-inventory task sent by the target end, and continue to execute the method for generating the object inventory information.
In the apparatus provided by the above embodiment of the present disclosure, through matching between the actually acquired tags carried by the articles and the corresponding positioning information of the acquiring unit 501 and the corresponding relationship between the preset warehousing location identifiers and the warehousing positions, the second generating unit 503 generates the article inventory information including the association relationship between the tags carried by the articles and the warehousing location identifiers generated by the first generating unit 502. The automation of the article checking process is realized, the article checking efficiency is improved, and the labor cost is saved.
With further reference to fig. 6, a timing sequence 600 of interactions between various devices in one embodiment of a method for generating item inventory information is illustrated. The system for generating item inventory information may include: the system comprises a server side, a warehouse management system and a database, wherein the server side is configured to receive an article checking task issued by the warehouse management system, and the article checking task comprises checking initial position information used for indicating an initial position of the article checking task; sending an article checking task to an article checking vehicle; receiving article checking information sent by an article checking vehicle; an inventory cart configured to move to a position indicated by inventory starting position information included in the item inventory task; and to perform the method of implementing the method for generating item inventory information as described in the preceding embodiments.
As shown in fig. 6, in step 601, the server receives an item counting task issued by the warehouse management system.
In this embodiment, the above-mentioned item counting task may include counting start position information indicating a start position of the item counting task. The above-mentioned starting position information of the inventory may be in various forms, such as coordinates. The information of the starting position of the inventory may be selected by a technician through a control terminal, or may be set according to default settings.
In step 602, the server sends an item counting task to the item counting cart.
In this embodiment, the server may send the item counting task received in step 601 to an item counting cart for performing the item counting task.
In step 603, the item inventory cart moves to a position indicated by the inventory starting position information included in the item inventory task.
In this embodiment, the above-mentioned article counting cart may move to a position indicated by counting start position information included in the article counting task.
In step 604, the item inventory vehicle obtains at least one item warehousing information.
In step 605, for the article warehousing information in the at least one article warehousing information, in response to determining that there is a warehousing position matching the positioning information in the article warehousing information in the warehousing correspondence table, the article checking vehicle generates an association relationship between the label in the article warehousing information and the warehousing position identification corresponding to the matching warehousing position.
In step 606, the item inventory cart generates item inventory information based on the association.
The above steps 604 to 606 may be respectively consistent with the corresponding steps in the embodiments described in fig. 2 or fig. 4, and the above descriptions for steps 201 to 203, 401 to 403, and their optional implementation manners also apply to steps 604 to 606, which are not described herein again.
In step 607, the item inventory information transmitted from the item inventory cart is received.
The utility model provides a be used for generating article checking information, through the server side with warehouse management system communication connection to article checking vehicle send article checking task, article checking vehicle is through the matching between the label that article carried that actually acquires and the corresponding locating information and the corresponding relation between predetermined storage position sign and the storage position, sends the article checking information that contains the incidence relation between label that article carried and the storage position sign that generates to the server side to carry out article checking task. The full process automation of article checking is realized, the efficiency of article checking is improved, and the labor cost is saved.
Referring now to fig. 7, shown is a schematic diagram of an electronic device (e.g., terminal device 101 of fig. 1)700 suitable for use in implementing embodiments of the present application. The terminal device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the range of use of the embodiments of the present application.
As shown in fig. 7, electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from storage 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Generally, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 7 may represent one device or may represent multiple devices as desired.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 708, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present application.
With continued reference to fig. 8, a schematic structural view of one embodiment of an item inventory cart according to the present disclosure is shown.
In this embodiment, the article counting cart shown in fig. 8 may include: one or more processors; at least one label detection device arranged in different positions; a vehicle body frame; a storage device having one or more programs stored thereon; a positioning device; a mobile device; when executed by the one or more processors, cause the one or more processors to implement a method as described in the foregoing embodiments in fig. 2 or fig. 4.
In some optional implementations of this embodiment, the tag may include a radio frequency identification tag. The tag detection apparatus may include an antenna and an antenna guide. The antenna guide may be fixed to the vehicle body frame.
It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present disclosure, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring at least one article warehousing information, wherein the article warehousing information comprises tags carried by articles and corresponding positioning information; for the article warehousing information in the at least one article warehousing information, generating an incidence relation between a label in the article warehousing information and a warehousing position identification corresponding to the matched warehousing position in response to determining that a warehousing position matched with the positioning information in the article warehousing information exists in a preset warehousing corresponding relation table, wherein the warehousing corresponding relation table is used for representing the corresponding relation between the warehousing position identification and the warehousing position; and generating item inventory information based on the association relationship.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as "C", Python, or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first generation unit, and a second generation unit. The names of the units do not limit the units themselves in some cases, for example, the acquiring unit may also be described as a unit for acquiring at least one item warehousing information, wherein the item warehousing information includes tags carried by the items and corresponding positioning information.
The foregoing description is only exemplary of the preferred embodiments of the disclosure 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 invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (13)
1. A method for generating item inventory information, comprising:
acquiring at least one article warehousing information, wherein the article warehousing information comprises tags carried by articles and corresponding positioning information;
for the article warehousing information in the at least one article warehousing information, generating an incidence relation between a label in the article warehousing information and a warehousing position identification corresponding to the matched warehousing position in response to determining that a warehousing position matched with the positioning information in the article warehousing information exists in a preset warehousing corresponding relation table, wherein the warehousing corresponding relation table is used for representing the corresponding relation between the warehousing position identification and the warehousing position;
and generating item inventory information based on the association relationship.
2. The method of claim 1, wherein the items are layered at different horizontal locations and/or different heights; and
the acquiring of at least one item warehousing information includes:
acquiring the signal intensity of the detected label carried by at least one article through a first preset number of label detectors which are arranged according to different horizontal positions and/or different heights in a layered mode;
determining the corresponding relation between the corresponding label and the label detector according to the detected signal intensity;
and generating positioning information corresponding to each corresponding label according to the height and the position of the first preset number of label detectors.
3. The method according to claim 1, wherein the generating of the association between the tag in the article warehousing information and the warehousing location identifier corresponding to the matched warehousing location in response to determining that the warehousing location matching the positioning information in the article warehousing information exists in the preset warehousing correspondence table comprises:
and generating an association relation between the label in the article warehousing information and the warehousing position identification corresponding to the matched warehousing position in response to determining that the warehousing position with the distance between the indicated horizontal position and the horizontal position indicated by the positioning information in the article warehousing information smaller than a preset threshold exists in the preset warehousing corresponding relation table.
4. The method of claim 1, wherein the warehousing locations are arranged in different horizontal positions; and
generating item inventory information based on the association relationship, including:
determining whether a horizontal matching conflict exists in the generated association relationship, wherein the horizontal matching conflict is used for representing that the same label has the association relationship with the warehousing position identifications corresponding to different horizontal positions;
in response to the fact that the horizontal matching conflict exists, selecting a first target warehousing position identification from the warehousing position identifications with the association relation according to the signal intensity of the label corresponding to the horizontal matching conflict when the detector is respectively located at the position corresponding to each warehousing position identification with the association relation;
generating an incidence relation between the label corresponding to the horizontal matching conflict and the first target warehousing location identification; deleting other association relations corresponding to the labels corresponding to the horizontal matching conflicts;
and generating item inventory information based on the reserved association relationship.
5. The method of claim 4, wherein the warehousing locations are arranged in different horizontal positions, comprising:
the storage locations are symmetrically arranged along aisles in the warehouse.
6. The method of claim 1, wherein the warehousing locations are tiered at different heights; and
generating item inventory information based on the association relationship, including:
determining whether a height matching conflict exists in the generated association relationship, wherein the height matching conflict is used for representing that the same label has the association relationship with the warehousing position identifications corresponding to different heights;
in response to the fact that the height matching conflict exists, selecting a second target warehousing position identification from the warehousing position identifications with the association relation according to the signal intensity of the label corresponding to the height matching conflict when the detector is respectively located at the position corresponding to each warehousing position identification with the association relation;
generating an incidence relation between the label corresponding to the height matching conflict and the second target warehousing location identification; deleting other association relations corresponding to the labels corresponding to the height matching conflicts;
and generating item inventory information based on the reserved association relationship.
7. The method according to one of claims 1-6, wherein the method further comprises:
sending the article checking information to a target end;
and responding to the received object re-checking task sent by the target end, and continuing to execute the method for generating the object checking information.
8. An apparatus for generating item inventory information, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is configured to acquire at least one item warehousing information, and the item warehousing information comprises tags carried by items and corresponding positioning information;
the first generation unit is configured to generate an association relationship between a tag in the article warehousing information and a warehousing position identifier corresponding to a matched warehousing position in response to determining that a warehousing position matched with the positioning information in the article warehousing information exists in a preset warehousing corresponding relationship table, wherein the warehousing corresponding relationship table is used for representing a corresponding relationship between the warehousing position identifier and the warehousing position;
a second generation unit configured to generate item inventory information based on the association relationship.
9. A system for generating item inventory information, comprising:
the system comprises a server side, a warehouse management system and a database, wherein the server side is configured to receive an article checking task issued by the warehouse management system, and the article checking task comprises checking initial position information used for indicating an initial position of the article checking task; sending the item checking task to an item checking vehicle; receiving article checking information sent by the article checking vehicle;
the inventory vehicle configured to move to a position indicated by the inventory starting position information included in the item inventory task; and performing the method of any one of claims 1-7.
10. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
11. An item inventory cart, comprising:
one or more processors;
at least one label detection device arranged in different positions;
a vehicle body frame;
a storage device having one or more programs stored thereon;
a positioning device;
a mobile device;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
12. The method of claim 11, wherein the tag comprises a radio frequency identification tag and the tag detection device comprises an antenna and an antenna rail, the antenna rail being secured to the body frame.
13. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110281124.1A CN112967001A (en) | 2021-03-16 | 2021-03-16 | Method, device and system for generating article checking information and checking vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110281124.1A CN112967001A (en) | 2021-03-16 | 2021-03-16 | Method, device and system for generating article checking information and checking vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112967001A true CN112967001A (en) | 2021-06-15 |
Family
ID=76278156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110281124.1A Pending CN112967001A (en) | 2021-03-16 | 2021-03-16 | Method, device and system for generating article checking information and checking vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112967001A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202351925U (en) * | 2011-11-21 | 2012-07-25 | 无锡华夏数智信息技术有限公司 | Goods storage management system based on RFID (Radio Frequency Identification Device) |
| CN108830344A (en) * | 2018-05-28 | 2018-11-16 | 广州市捍御者信息科技有限公司 | Warehouse stock counting goods yard localization method and device calculates equipment and storage medium |
| CN110009076A (en) * | 2019-04-08 | 2019-07-12 | 山东瀚岳智能科技股份有限公司 | A kind of intelligent storage cabinet system and its management method, device based on RFID |
| CN111967547A (en) * | 2020-07-06 | 2020-11-20 | 深圳市成为信息技术有限公司 | Multi-label checking method, electronic equipment and storage medium |
-
2021
- 2021-03-16 CN CN202110281124.1A patent/CN112967001A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202351925U (en) * | 2011-11-21 | 2012-07-25 | 无锡华夏数智信息技术有限公司 | Goods storage management system based on RFID (Radio Frequency Identification Device) |
| CN108830344A (en) * | 2018-05-28 | 2018-11-16 | 广州市捍御者信息科技有限公司 | Warehouse stock counting goods yard localization method and device calculates equipment and storage medium |
| CN110009076A (en) * | 2019-04-08 | 2019-07-12 | 山东瀚岳智能科技股份有限公司 | A kind of intelligent storage cabinet system and its management method, device based on RFID |
| CN111967547A (en) * | 2020-07-06 | 2020-11-20 | 深圳市成为信息技术有限公司 | Multi-label checking method, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109647719B (en) | Method and device for sorting goods | |
| CN106980955B (en) | Method and apparatus for outputting information | |
| CN110351678B (en) | Commodity positioning method and device, equipment and storage medium | |
| CN110371560B (en) | Method and device for automatic checking | |
| CN108805637B (en) | Method and device for automatically associating grids and confirming distribution | |
| CN109685403A (en) | Information processing method and device | |
| CN109472523A (en) | Method and apparatus for sorting cargo | |
| CN110070312A (en) | Order processing method and apparatus | |
| US10354316B2 (en) | Item list display | |
| AU2022328832A1 (en) | Supplies inventory method and apparatus, and device and storage medium | |
| CN111784222A (en) | Method and device for processing orders | |
| CN101241625B (en) | Setting-information creating apparatus, setting-information creating method, information output system | |
| CN112150072A (en) | Asset checking method and device based on intelligent robot, electronic equipment and medium | |
| US20180108072A1 (en) | Systems, Devices and Methods for Monitoring Objects in a Cart | |
| CN109697583A (en) | Information generating method and device | |
| CN109118150B (en) | Commodity volume estimation method and device, computer equipment and storage medium | |
| CN113320865B (en) | Warehouse management method, device, warehouse robot, warehouse system and medium | |
| KR20150036920A (en) | Logistics management and order picking system for information visualization objects and method therefor | |
| CN113651009A (en) | Method and device for checking articles, electronic equipment and storage medium | |
| CN110472900A (en) | Method and apparatus for determining article storage location | |
| CN112183679B (en) | Method, client, server and system for positioning electronic price tag | |
| CN112967001A (en) | Method, device and system for generating article checking information and checking vehicle | |
| CN112001664A (en) | Method, device, equipment and storage medium for generating return task | |
| CN112261582B (en) | Electronic price tag moving position determining method, device and system | |
| Hasan et al. | IoT-Based Warehouse Management System |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |