CN112163816A - Intelligent logistics warehouse goods checking method based on artificial intelligence - Google Patents
Intelligent logistics warehouse goods checking method based on artificial intelligence Download PDFInfo
- Publication number
- CN112163816A CN112163816A CN202011116418.0A CN202011116418A CN112163816A CN 112163816 A CN112163816 A CN 112163816A CN 202011116418 A CN202011116418 A CN 202011116418A CN 112163816 A CN112163816 A CN 112163816A
- Authority
- CN
- China
- Prior art keywords
- artificial intelligence
- information
- warehousing
- goods
- checking
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Economics (AREA)
- Engineering & Computer Science (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Accounting & Taxation (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Warehouses Or Storage Devices (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent logistics warehouse goods checking method based on artificial intelligence, which comprises the steps of firstly, inputting customer information, secondly, obtaining warehousing information, thirdly, obtaining positioning information and warehousing weight values of all boxes of goods of customers, fourthly, determining the usage amount of the artificial intelligence, determining an artificial intelligence number from an inquiry terminal, starting the artificial intelligence, at the moment, connecting the artificial intelligence and inquiry system information in a sharing mode, fifthly, arranging checking an order, sixthly, calculating a shortest advancing return route, seventhly, scanning coding information and checking the warehousing information, eighthly, checking the positioning information, and nineteenth, weighing and checking the weight information. The warehousing information, the goods positioning information and the warehousing weight value are automatically transferred to the artificial intelligent cache area for the use of an artificial intelligent positioning unit, an automatic traveling unit, a scanning unit, a weighing unit and a table establishing unit, so that the method is more convenient and saves a large amount of editing time.
Description
Technical Field
The invention belongs to the technical field of commodity circulation warehouse commodity counting, and particularly relates to an intelligent commodity circulation warehouse commodity counting method based on artificial intelligence.
Background
With the development of information technology, various warehousing and transportation management systems and automation equipment facilities are also integrated into logistics supply chain management, so that warehousing and logistics enterprises enter an information era, and the information flow problem of the warehousing and logistics enterprises can be solved by the construction of the information system.
In the past, when checking the storage information, checking the storage position, the weight and the serial number of a container by manual checking, counting the checking information on a table for a client to check, but because a large amount of manpower is consumed in the checking process, the artificial intelligence is trending to check the goods, before warehousing, arranging the storage position of each box, weighing the weight of the container, typing the information into an inquiry terminal to obtain the serial number of the warehoused goods, printing the serial numbers of the warehoused goods in a stripe code mode, attaching the serial numbers to the container, wherein the checking system comprises an inquiry terminal and artificial intelligence, when in use, typing the warehousing serial number of each container into the inquiry terminal to obtain the positioning information, the warehousing weight, the warehousing time and the serial number of warehousing editors of the container, and transmitting the information to different artificial intelligence according to the conditions, the artificial intelligence comprises a positioning unit, an automatic driving unit, a scanning unit, a weighing unit and a table establishing unit, the positioning unit can position the artificial intelligence in real time, and controls and supervises the driving direction of the automatic driving unit in real time, when the automatic driving unit reaches the position of the container, the scanning unit scans the bar codes on the container to obtain the actual positioning information of the container, the warehousing weight of the container, the warehousing time and the serial number of warehousing editors, the weight of the pallet is automatically removed by the weighed weight to obtain the weight of the container, and the check result of each warehousing information and the actual information is used for establishing a check table through a table establishing unit, and will check the table and transmit to inquiry terminal, for the customer to watch, not only reduced the human cost that the in-process of checking used, the inquiry result is more regular moreover, the weak point that exists is: when the warehousing quantity of the containers in the warehouse of the client is huge, the numbers of the containers are input into the query terminal one by one, and the container positioning information, the warehousing weight of the containers, the warehousing time and the numbers of warehousing editors need to be sent to the artificial intelligence one by one, so that a large amount of time is wasted.
Disclosure of Invention
The invention aims to provide an intelligent logistics warehouse goods checking method based on artificial intelligence, and the method is used for solving the problem that a large amount of time is wasted in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent logistics warehouse goods inventory method based on artificial intelligence is characterized by comprising the following steps:
the method comprises the following steps: inputting customer information;
step two: acquiring warehousing information;
step three: acquiring positioning information and warehousing weight values of each box of goods of a customer;
step four: determining the usage amount of artificial intelligence, determining an artificial intelligence number from the query terminal, starting the artificial intelligence, and then sharing and connecting the artificial intelligence and the query system information;
step five: arranging an inventory sequence;
step six: calculating the shortest travel return route;
step seven: scanning the coded information and checking the coded information with warehousing information;
step eight: checking the positioning information;
step nine: weighing and checking weight information;
step ten: and establishing a check table and transmitting the check table to the inquiry terminal.
Preferably, in the first step, the name of the customer and a password set by the customer are entered into the inquiry terminal.
Preferably, in the second step, the warehousing information includes the total number of the goods, the number of the goods in each box, the warehousing time and the number of the warehousing editor.
Preferably, the specific steps of the fourth step are as follows: according to the working artificial intelligence feedback service condition and compared with all artificial intelligence service conditions, the artificial intelligence which does not work is determined, the quantity of the started artificial intelligence is determined according to the number of the checked goods boxes, and finally the artificial intelligence with the same quantity is started in sequence.
Preferably, the specific steps of the fifth step are as follows: the method comprises the steps of obtaining the total number of goods, the number of goods in each box, the positioning information of the goods in each box and the warehousing weight value, arranging the goods number which needs to be checked by each artificial intelligence when the goods are taken out of the car, transferring the goods number, the positioning information of the goods in each box and the warehousing weight value to the artificial intelligence, and issuing a task instruction to the artificial intelligence.
Preferably, the specific steps of the sixth step are as follows: the artificial intelligence transmits the positioning information of the goods to the calculating unit and calculates the shortest travel return route.
Preferably, the specific steps of the seventh step are as follows: and scanning the coded paste on the container by artificial intelligence to obtain warehousing information, and checking the obtained warehousing information with the information obtained by the query terminal.
Preferably, the specific steps of the step eight are as follows: and the artificial intelligence locates itself and checks the locating information with the goods locating information.
Preferably, the specific steps of the ninth step are as follows: the artificial intelligent weighing plugboard is inserted into the pallet for loading the container and lifts the pallet, the actual weight value of the container is weighed and calculated, and the actual weight value of the container is checked with the warehousing weight value.
Preferably, the specific steps of the step ten are as follows: and establishing a table according to the checking results of the cargo warehousing information, the cargo positioning information and the warehousing weight value, the actual cargo warehousing information, the cargo positioning information and the warehousing weight value, and transmitting the table to the query terminal.
Compared with the prior art, the invention has the beneficial effects that: according to the intelligent logistics warehouse goods checking method based on artificial intelligence, after customer information and passwords are input at the inquiry terminal and a plurality of artificial intelligence is started, warehousing information, goods positioning information and warehousing weight values are automatically transferred to the artificial intelligence cache area for the artificial intelligence positioning unit, the automatic traveling unit, the scanning unit, the weighing unit and the table establishing unit to use, and each goods number does not need to be coded into the inquiry terminal, so that the method is more convenient and saves a large amount of editing time.
Drawings
FIG. 1 is a schematic diagram of the steps of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, an intelligent logistics warehouse goods inventory method based on artificial intelligence includes the following steps: the method comprises the steps of keying in customer information, keying in a customer name and a password set by the customer into an inquiry terminal, setting the customer name and the password on the inquiry terminal by the customer before warehousing, establishing the total box number of goods, the serial number of each box of goods, warehousing time and the serial number of warehousing editors in the customer name, and establishing positioning information and warehousing weight values of each box of goods in the serial number of each box of goods, wherein the positioning information of each box of goods is calculated by a warehousing system;
step two: acquiring warehousing information, wherein in the step two, when a customer name and a password are input, the warehousing information can be displayed through an inquiry terminal, and the warehousing information comprises the total number of goods, the number of goods in each box, warehousing time and the number of warehousing editors;
step three: when opening the goods number in the inquiry terminal, acquiring the positioning information and the warehousing weight value of each box of goods of a customer;
step two and step three are used for manually checking the warehousing information on the query terminal;
step four: determining the usage amount of the artificial intelligence, determining an artificial intelligence number from the query terminal, starting the artificial intelligence, and then, the artificial intelligence is communicated with the query system in an information sharing way, wherein the fourth step comprises the following specific steps: according to the working artificial intelligence feedback service condition and all artificial intelligence service conditions, determining the artificial intelligence which does not work, determining the quantity of the started artificial intelligence according to the number of the checked goods boxes, and finally starting the artificial intelligence with the same quantity in sequence; step five: arranging an inventory sequence, wherein an artificial intelligence acquires the total number of cargo boxes, the number of each cargo box, the positioning information of each cargo box and a warehousing weight value, an inquiry system automatically arranges the cargo number required to be inventoried by each artificial intelligence when the artificial intelligence goes out of the train, the inquiry system interactively cooperates with a calculation unit of the artificial intelligence during the arrangement process to establish the inventory sequence of each artificial intelligence cargo, the cargo number, the positioning information of each cargo box and the warehousing weight value are stored in a cache space of the artificial intelligence, and a task instruction is issued to the artificial intelligence;
step six: and calculating the shortest travel return route, wherein the concrete steps of the sixth step are as follows: the artificial intelligence transmits the positioning information of the goods to the calculating unit and calculates the shortest advancing return route, and the shortest advancing return route is obtained by combining the positioning information of the goods in each box in the interactive cooperation process of the calculating unit and the arranging process;
step seven: scanning and checking the coded information with warehousing information, when artificial intelligence advances to a container positioning position, scanning a coded paste with stripe codes attached to a container by an artificial intelligence code scanning unit to obtain warehousing information, checking the obtained warehousing information with information obtained by an inquiry terminal, and temporarily storing the checking information in an artificial intelligence cache space;
step eight: checking the positioning information, starting an artificial intelligent positioning unit to automatically position itself, checking the positioning information with the cargo positioning information, and temporarily storing the checking information in an artificial intelligent cache space;
step nine: weighing and checking weight information, wherein the ninth step comprises the following specific steps: the method comprises the following steps that a weighing plugboard of an artificial intelligent weighing unit is automatically inserted into a pallet for loading a container and lifts the pallet, a weight calculation module in the weighing unit automatically removes the weight of the pallet, the actual weight value of the container is calculated, the actual weight value of the container is checked with a warehousing weight value, and checking information is temporarily stored in an artificial intelligent cache space;
the check information obtained in the seventh step, the eighth step and the ninth step is correspondingly stored into each cargo number one by one for the artificial intelligent table establishing unit to use,
step ten: and a table establishing unit integrates and establishes a table for the goods warehousing information, the positioning information and the warehousing weight value of the goods and the actual goods warehousing information, the positioning information and the warehousing weight value checking result in the cache space, and transmits the table to the query terminal for customers to look up.
After customer information and passwords are input into the inquiry terminal and a plurality of artificial intelligence is started, warehousing information, goods positioning information and warehousing weight values are automatically transferred to the artificial intelligence cache area for the artificial intelligence positioning unit, the automatic traveling unit, the scanning unit, the weighing unit and the table establishing unit to use, and each goods number does not need to be coded into the inquiry terminal, so that the system is more convenient and saves a large amount of editing time.
Claims (10)
1. An intelligent logistics warehouse goods inventory method based on artificial intelligence is characterized by comprising the following steps:
the method comprises the following steps: inputting customer information;
step two: acquiring warehousing information;
step three: acquiring positioning information and warehousing weight values of each box of goods of a customer;
step four: determining the usage amount of artificial intelligence, determining an artificial intelligence number from the query terminal, starting the artificial intelligence, and then sharing and connecting the artificial intelligence and the query system information;
step five: arranging an inventory sequence;
step six: calculating the shortest travel return route;
step seven: scanning the coded information and checking the coded information with warehousing information;
step eight: checking the positioning information;
step nine: weighing and checking weight information;
step ten: and establishing a check table and transmitting the check table to the inquiry terminal.
2. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: in the first step, the name of the customer and the password set by the customer are input into the inquiry terminal.
3. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: and in the second step, the warehousing information comprises the total number of the goods, the serial numbers of the goods in each box, the warehousing time and the serial numbers of warehousing editors.
4. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the fourth step comprises the following specific steps: according to the working artificial intelligence feedback service condition and compared with all artificial intelligence service conditions, the artificial intelligence which does not work is determined, the quantity of the started artificial intelligence is determined according to the number of the checked goods boxes, and finally the artificial intelligence with the same quantity is started in sequence.
5. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the concrete steps of the fifth step are as follows: the method comprises the steps of obtaining the total number of goods, the number of goods in each box, the positioning information of the goods in each box and the warehousing weight value, arranging the goods number which needs to be checked by each artificial intelligence when the goods are taken out of the car, transferring the goods number, the positioning information of the goods in each box and the warehousing weight value to the artificial intelligence, and issuing a task instruction to the artificial intelligence.
6. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the sixth step comprises the following specific steps: the artificial intelligence transmits the positioning information of the goods to the calculating unit and calculates the shortest travel return route.
7. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the concrete steps of the seventh step are as follows: and scanning the coded paste on the container by artificial intelligence to obtain warehousing information, and checking the obtained warehousing information with the information obtained by the query terminal.
8. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the concrete steps of the step eight are as follows: and the artificial intelligence locates itself and checks the locating information with the goods locating information.
9. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the ninth step comprises the following specific steps: the artificial intelligent weighing plugboard is inserted into the pallet for loading the container and lifts the pallet, the actual weight value of the container is weighed and calculated, and the actual weight value of the container is checked with the warehousing weight value.
10. The intelligent logistics warehouse goods inventory method based on artificial intelligence as claimed in claim 1, wherein: the specific steps of the tenth step are as follows: and establishing a table according to the checking results of the cargo warehousing information, the cargo positioning information and the warehousing weight value, the actual cargo warehousing information, the cargo positioning information and the warehousing weight value, and transmitting the table to the query terminal.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211522551.5A CN116308077A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
| CN202011116418.0A CN112163816A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011116418.0A CN112163816A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211522551.5A Division CN116308077A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112163816A true CN112163816A (en) | 2021-01-01 |
Family
ID=73867398
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011116418.0A Pending CN112163816A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
| CN202211522551.5A Pending CN116308077A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211522551.5A Pending CN116308077A (en) | 2020-10-19 | 2020-10-19 | Intelligent logistics warehouse goods checking method based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN112163816A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113313446A (en) * | 2021-05-26 | 2021-08-27 | 和美（深圳）信息技术股份有限公司 | Container management and control method, system, control equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203904A (en) * | 2016-07-02 | 2016-12-07 | 北京工业大学 | Automatization based on warehouse receipt credit method |
| CN108469813A (en) * | 2017-02-23 | 2018-08-31 | 厦门新页电气有限公司 | A kind of wireless charging control system, method and device based on logistic storage |
| CN110059998A (en) * | 2019-03-11 | 2019-07-26 | 北京辰森世纪科技股份有限公司 | Method and device, the system, storage medium, electronic device of automatic stock-tacking object |
| KR20190106912A (en) * | 2019-08-30 | 2019-09-18 | 엘지전자 주식회사 | Ai agent and its control method and refrigerator associated with ai agent and its control method |
| CN110303500A (en) * | 2019-07-10 | 2019-10-08 | 中信梧桐港供应链管理有限公司 | A kind of warehouse robot control system and method |
| CN111091322A (en) * | 2019-12-06 | 2020-05-01 | 南通中实纺织交易市场有限公司 | Management method of intelligent warehousing platform based on RFID |
| CN211197467U (en) * | 2019-11-19 | 2020-08-07 | 深圳市海柔创新科技有限公司 | Transfer robot |
-
2020
- 2020-10-19 CN CN202011116418.0A patent/CN112163816A/en active Pending
- 2020-10-19 CN CN202211522551.5A patent/CN116308077A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203904A (en) * | 2016-07-02 | 2016-12-07 | 北京工业大学 | Automatization based on warehouse receipt credit method |
| CN108469813A (en) * | 2017-02-23 | 2018-08-31 | 厦门新页电气有限公司 | A kind of wireless charging control system, method and device based on logistic storage |
| CN110059998A (en) * | 2019-03-11 | 2019-07-26 | 北京辰森世纪科技股份有限公司 | Method and device, the system, storage medium, electronic device of automatic stock-tacking object |
| CN110303500A (en) * | 2019-07-10 | 2019-10-08 | 中信梧桐港供应链管理有限公司 | A kind of warehouse robot control system and method |
| KR20190106912A (en) * | 2019-08-30 | 2019-09-18 | 엘지전자 주식회사 | Ai agent and its control method and refrigerator associated with ai agent and its control method |
| CN211197467U (en) * | 2019-11-19 | 2020-08-07 | 深圳市海柔创新科技有限公司 | Transfer robot |
| CN111091322A (en) * | 2019-12-06 | 2020-05-01 | 南通中实纺织交易市场有限公司 | Management method of intelligent warehousing platform based on RFID |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113313446A (en) * | 2021-05-26 | 2021-08-27 | 和美（深圳）信息技术股份有限公司 | Container management and control method, system, control equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116308077A (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109492965B (en) | Logistics management system and electronic equipment | |
| CN111539668B (en) | Warehousing system based on radio frequency technology and control method | |
| CN106203928A (en) | A kind of warehouse management system based on RFID technique | |
| CN107679786B (en) | Intelligent warehouse management system based on guide robot | |
| CN109814505A (en) | A kind of SMART MATERIALS movement system based on AGV trolley | |
| CN114004571B (en) | Intelligent three-dimensional storage shelf goods position distribution system and method thereof | |
| CN107609818A (en) | A kind of products storage circulation system and method | |
| CN102117445A (en) | Method for monitoring goods in real time in logistics management | |
| CN101493911A (en) | Virtual inventory management system for harbor equipment manufacturing enterprise | |
| CN111882275A (en) | Trade big data management method and system based on industrial identification analysis | |
| CN113247512B (en) | Fork RGV cooperative scheduling control system based on Internet of things | |
| CN106251107A (en) | A kind of goods based on RFID technique scans Input System | |
| CN108549386A (en) | AGV trolleies managing and control system and method | |
| CN112163816A (en) | Intelligent logistics warehouse goods checking method based on artificial intelligence | |
| CN111178795A (en) | Accurate management system and method for aluminum electrolysis warehouse | |
| Cho | A study on establishment of smart logistics center based on logistics 4.0 | |
| CN108446746A (en) | A kind of intelligence Drug Flow supervisory systems | |
| CN110775506A (en) | Intelligent finished product sorting and automatic warehouse-in and warehouse-out system | |
| KR20060055581A (en) | Method and system for warehouse location management using rfid | |
| CN114044295B (en) | Auxiliary material library information checking method based on cooperation of stacker and conveyor | |
| CN105279632A (en) | Multi-device standard interface technology of logistics warehouse monitoring center | |
| CN111062656A (en) | Improved integrated OMS system module | |
| Alιm et al. | Smart warehouses in logistics 4.0 | |
| JP2000090180A (en) | Stock management system | |
| Bektaş et al. | RFID and XBee based automated verification of put-away operation for Warehouse Management Systems |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210101 |
|
| RJ01 | Rejection of invention patent application after publication |