Intelligent warehouse rack in and out of warehouse management and control system
By using an intelligent warehouse racking inbound and outbound control system, which utilizes information acquisition modules and control terminals for cargo identification and fuzzy matching, the high cost and low efficiency of traditional racking management are solved, achieving efficient and accurate warehouse management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-26
- Publication Date
- 2026-04-10
AI Technical Summary
Traditional shelving management relies on manual labor, resulting in high costs, low efficiency, and the risk of misoperation. It cannot achieve real-time goods control, and existing computer management systems cannot adapt to the high-frequency and high-intensity warehouse management needs.
The system employs an intelligent warehouse racking system for inbound and outbound operations. It uses an information acquisition module to identify and match goods, and combines the main and sub-control terminals to achieve global monitoring, thereby optimizing the inbound and outbound processes.
It improves the accuracy and efficiency of inbound and outbound operations, reduces labor costs, enables flexible warehouse management, adapts to the needs of different shelf specifications, and enhances management quality and efficiency.
Smart Images

Figure CN116409575B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or predictive purposes, and in particular to an intelligent warehouse rack in-out warehouse management system. BACKGROUND
[0002] In logistics and warehouse management, racks are one of the indispensable equipment. The traditional racks do not have an automatic system, and the storage and management of goods are highly dependent on manual work. When the quantity of goods changes, manual counting of goods is needed, and the storage location needs to be adjusted again. In the case of large-scale and multi-variety goods demand, manual picking requires the picker to find the corresponding goods in the warehouse and combine them together, which has obvious disadvantages. On the one hand, the management or responsible party needs a large amount of manpower, which is high in cost and low in efficiency, and the change of the quantity of goods cannot be displayed in time, so that real-time goods management cannot be realized. On the other hand, manual management has a high risk of misoperation, which may cause storage location errors or missing goods. These problems limit the efficiency and quality of warehouse management.
[0003] With the development of modern logistics, the concept of vertical warehouse and intelligent warehouse has emerged and developed. Under the premise of socialization, specialization and centralization of industrial production, the mechanization and automation system in modern industry is also widely used in warehouse technology, including but not limited to large-scale vertical warehouse racks equipped with various transfer equipment. Due to the space for human intervention in logistics and warehousing and the actual situation of new and old replacement, many management or responsible parties use the form of inventory of in-stock goods and then gradually standardize the in-warehouse goods to optimize the racks. In this process, computer technology is widely used.
[0004] However, in the process of using computer technology for rack management, the management of goods in and out of the warehouse is often too strict or too loose, the former leads to a lot of goods needing to be independently allocated to the cabinet in the process of entering the warehouse, resulting in space waste and difficulty in normal access when the goods are taken out, and the latter will obviously lead to chaos in rack management; neither of them is suitable for existing high-frequency and high-intensity warehouse management operations. SUMMARY
[0005] The present application solves the problems in the prior art and provides an intelligent warehouse rack in-out warehouse management system.
[0006] The technical solution adopted by the present application is an intelligent warehouse rack in-out warehouse management system, which comprises a rack, a cabinet cooperating with the rack, a sub-control end cooperating with any of the cabinets, and a main control end cooperating with all the sub-control ends, and an information acquisition module cooperating with the main control end.
[0007] The goods are realized to enter and exit the warehouse based on fuzzy matching, and global monitoring is performed by an information acquisition module.
[0008] Preferably, the warehousing of the system comprises the following steps:
[0009] Step 1.1: The information acquisition module acquires the information of the warehousing personnel, and if the verification is passed, the next step is performed.
[0010] Step 1.2: The information acquisition module uniformly identifies the goods, and if the accurate goods information is identified, step 1.4 is performed, otherwise the next step is performed.
[0011] Step 1.3: Fuzzy matching is performed on the goods, and if the associated goods are identified, the next step is performed, otherwise a new container is directly assigned and step 1.5 is performed.
[0012] Step 1.4: It is checked whether there is goods allowed to share a container, and if so, the corresponding container is assigned, otherwise a new container is assigned.
[0013] Step 1.5: The sub-control end controls the container to prompt reception, and the information acquisition module acquires the complete identification of the corresponding goods, which is attached to the goods, and the goods are warehoused.
[0014] Preferably, the information acquisition module comprises a host computer, which is cooperatively arranged with a main control end; the information acquisition module further comprises a camera, a scanning device, an input device and a weighing device cooperatively arranged with the host computer; the camera is used to acquire the information of the warehousing personnel, the scanning device and / or the camera are used to uniformly identify the goods, the scanning device and / or the camera and / or the input device are used to perform fuzzy matching on the goods, and the scanning device and / or the input device and the weighing device are used to acquire the complete identification of the corresponding goods.
[0015] Preferably, in step 1.3, the fuzzy matching comprises the following steps:
[0016] Step 1.3.1: The image of the goods is acquired based on the camera, and the weight of the goods is acquired based on the weighing device.
[0017] Step 1.3.2: The image of the goods is processed.
[0018] If there is text, the text information in the image is extracted, the text information is segmented to obtain the keywords about the goods, and the details of the goods corresponding to the current keywords are obtained.
[0019] If there is no text, the region of interest in the image is extracted, the identification pattern is acquired and searched to obtain the details of the goods corresponding to the current identification pattern.
[0020] If the image is empty, the size information of the current goods is obtained by referring to the reference system.
[0021] Step 1.3.3: matching the cargo details or size information with the weight of the cargo, selecting the N groups with the highest confidence for prompt selection, manually confirming the associated cargo, and if none exist, proceeding to the next step;
[0022] Step 1.3.4: inputting text and / or voice through the input device, identifying and extracting the key words of the cargo, and manually confirming the associated cargo.
[0023] Preferably, the system's outbound includes the following steps:
[0024] Step 2.1: the information acquisition module acquires the outbound personnel information, and if the verification is successful, proceeds to the next step;
[0025] Step 2.2: input the key word information of the cargo to be outbound;
[0026] Step 2.3: the system provides one or more cargos with a matching degree higher than the preset value;
[0027] Step 2.4: confirming the information, the sub-control end controls the opening of the corresponding container, and prompts the cargo pickup;
[0028] Step 2.5: the information acquisition module records the cargo pickup information, and the system controls the closing of the corresponding container.
[0029] Preferably, the step 2.3 includes the following steps:
[0030] Step 2.3.1: based on the key words, the corresponding cargo name and / or brand and / or identification information are obtained;
[0031] Step 2.3.2: if it is identification information, it is directly corresponding to a specific cargo, and if there is inventory, it proceeds to step 2.4, otherwise, similar goods are obtained and recommended.
[0032] If it is a cargo name and / or brand, it corresponds to one or more cargos with inventory, obtains the information recorded by the information acquisition module during the warehousing stage, and displays it.
[0033] Preferably, the characteristics of the warehoused cargo are obtained, including cargo identification information, cargo name, brand, belonging category, cargo warehousing characteristics, and cargo outbound characteristics; the characteristics are learned, and the goods with a higher matching value of the characteristics are preferentially recommended.
[0034] Preferably, the cargo warehousing characteristics and the cargo outbound characteristics are respectively associated with objective factors of cargo warehousing and outbound.
[0035] Preferably, the shelves are arrayed, the shelves are associated, and the position of the container relative to the shelves is adjusted based on objective factors.
[0036] Preferably, a monitoring mechanism is provided for each container, which includes a gravity sensor provided for each container and / or a monitoring camera provided for the rack.
[0037] The application relates to an intelligent warehouse rack in-out management system, which comprises a rack, containers matched with the rack, a sub-control end matched with each container, a main control end matched with all the sub-control ends, and an information acquisition module matched with the main control end.
[0038] The application has the following advantages:
[0039] (1) Based on fuzzy matching, the storage of goods is more reasonable, the correlation between goods is built, and the waste of rack space and the situation of no goods available for picking during the out-of-storage process are avoided.
[0040] (2) The information acquisition module can manage goods from multiple angles, the storage speed is fast, the accuracy is high, the out-of-storage position is clear, and therefore a clearer and smoother warehouse management mode is obtained, manpower cost and time cost are saved, and the efficiency and quality of warehouse management are improved.
[0041] (3) The accuracy of storage and out-of-storage is high, and there is a certain selection space, and by adjusting the threshold value, fine or extensive management can be realized according to the demand.
[0042] (4) The use scene is various, different specifications of racks can be matched, the cooperation of the control end and the sub-control end can realize the flexible adjustment of the position of the container in the application process, and the application is suitable for different warehouse management modes. BRIEF DESCRIPTION OF DRAWINGS
[0043] Figure 1 The structure diagram of the application is shown in the figure, and the arrow indicates the direction of signal and data transmission.
[0044] Figure 2 The storage flowchart of the application is shown in the figure.
[0045] Figure 3 The fuzzy matching flowchart in the application is shown in the figure.
[0046] Figure 4 The out-of-storage flowchart of the application is shown in the figure.
[0047] Figure 5 The flowchart of the system providing matched goods during the out-of-storage process in the application is shown in the figure. DETAILED DESCRIPTION
[0048] The application will be further described in detail in combination with the embodiments, but the protection scope of the application is not limited thereto.
[0049] As Figure 1As shown, the present application relates to a kind of intelligent warehouse goods in and out of warehouse control system, including goods shelf, cooperation described goods shelf is equipped with goods cabinet, cooperation any described goods cabinet is equipped with sub control terminal, the system further includes with all described sub control terminal cooperation main control terminal, cooperation described main control terminal is equipped with information acquisition module;
[0050] Goods are based on fuzzy matching to realize warehousing and delivery, and information acquisition module is used for global monitoring.
[0051] The information acquisition module includes a host computer, which is arranged in cooperation with the main control terminal;The information acquisition module further includes a camera, a scanning device, an input device and a weighing device cooperating with the host computer;The camera is used to obtain the information of the warehousing personnel, the scanning device and / or the camera are used to identify the goods uniformly, the scanning device and / or the camera and / or the input device are used to fuzzy match the goods, and the scanning device and / or the input device and the weighing device are used to obtain the complete identification of the corresponding goods.
[0052] In the present application, the main control terminal includes a PC terminal, and a digital large screen can be externally connected to the PC terminal for comprehensive display of the goods shelf;The sub control terminal includes a controller, and a display screen can also be provided for each goods cabinet or group of goods cabinets based on requirements, which facilitates management and visual operation;The PC terminal is connected to the sub control terminal and controlled;In the implementation process, the controller can be set as an Arduino single-chip microcomputer, which is connected to the PC terminal through Cam bus protocol and transmits information.
[0053] In the present application, the information acquisition module includes a host computer, which is different from the sub control terminal and the main control terminal, and is arranged near the goods shelf, with input and output functions, such as keyboard input, mouse selection, microphone recording, display screen display, etc.;The host computer cooperates with the main control terminal and is in the same local area network.
[0054] In the present application, the camera is used to obtain the head portrait of the staff, and the camera can also be used to obtain the image of the goods;The obtained image is transmitted to the main control terminal for confirmation.
[0055] The scanning device scans the bar code of the goods when warehousing, or scans the bar code of the goods when delivery;
[0056] The input device is used for fuzzy matching search of goods when warehousing, or inputting information associated with the goods when delivery;
[0057] The weighing device is used for fuzzy matching search of goods when warehousing, or inputting information associated with the goods when delivery.
[0058] The application is particularly suitable for the scene of rough management and initial construction of warehouse shelves, can optimally complete the storage and access of goods without a large range of re-building shelves, and gradually optimizes the inventory and identification of the shelves in the process, and the speed of storage and access of goods will be faster and faster.
[0059] As shown in Figure 2 、 Figure 3 The warehousing of the system includes the following steps:
[0060] Step 1.1: The information acquisition module acquires the warehousing personnel information, and if the verification is passed, the next step is performed.
[0061] Step 1.2: The information acquisition module uniformly identifies the goods, and if the accurate goods information is identified, step 1.4 is performed, otherwise the next step is performed.
[0062] Step 1.3: Fuzzy matching is performed on the goods, if the associated goods are identified, the next step is performed, otherwise a new container is directly assigned, and step 1.5 is performed.
[0063] In step 1.3, the fuzzy matching includes the following steps:
[0064] Step 1.3.1: The image of the goods is acquired based on the camera, and the weight of the goods is acquired based on the weighing device.
[0065] Step 1.3.2: The image of the goods is processed.
[0066] If there is text, the text information in the image is extracted, the text information is segmented, the keywords about the goods are obtained, and the goods details corresponding to the current keywords are obtained.
[0067] If there is no text, the region of interest in the image is extracted, the identification pattern is searched, and the goods details corresponding to the current identification pattern are obtained.
[0068] If the image is empty, the reference system is referred to, and the size information of the current goods is obtained.
[0069] Step 1.3.3: The goods details or size information are matched with the weight of the goods, the N groups with the highest confidence are obtained for prompt selection, the associated goods are manually confirmed, and if none of them exist, the next step is performed.
[0070] Step 1.3.4: The text and / or voice are input by the input device, the keywords of the goods are extracted after recognition, and the associated goods are manually confirmed.
[0071] Step 1.4: It is checked whether there is goods allowed to be combined in a container, if yes, the corresponding container is assigned, otherwise a new container is assigned.
[0072] Step 1.5: The sub-control end controls the container prompt reception, and the information acquisition module acquires the complete identification of the corresponding goods attached to the goods.
[0073] In this embodiment, the camera in the information acquisition module acquires the information of the warehousing personnel. In actual application, of course, fingerprint recognition devices, card readers, etc. can also be set, which is easily understood by those skilled in the art.
[0074] In this embodiment, first, the scanning device uniformly identifies the bar code of the goods, etc. When no identification is found, it means that the corresponding goods in the current shelf (if any) have not been standardized, so the goods are matched fuzzily.
[0075] In fuzzy matching, the image of the goods is first processed, including but not limited to sharpening and trapezoidal correction, to obtain one or more images. The images are extracted and segmented by semantics, generally using OCR tools. After extracting the keywords, the details of the goods are obtained. If there is no text in the image, the region of interest in the image is extracted, generally the trademark pattern and large image content, etc. are identified, searched in the database, search engine or public database of the main control end, and then the details of the goods are obtained and recorded to the main control end, shortening the subsequent comparison time. When there is no clear information in the image, the size can be obtained based on the reference system. The reference system is generally based on the horizontal ground as the reference, and the visible objects nearby are referenced, or a standard part is given.
[0076] The goods details obtained by the above matching are all fuzzy (suspected) information. The weight of the goods is obtained synchronously, and the most likely goods information is obtained by matching the goods details and the weight, or the N groups of goods information with the highest confidence are obtained by comprehensively judging the size and the weight of the goods. Artificial screening is performed to improve the success rate of matching and shorten the time of manual searching. The value of N ranges from 5 to 20, and is adjusted based on the size of the storage and the actual application situation.
[0077] In this embodiment, there are also cases where complete matching is not possible, so input the text and / or voice to record the goods. This is not preferred because different individuals have difficulty in naming goods uniformly and standardly, and voice recording may have errors, so it is only a supplementary solution.
[0078] In this embodiment, for the goods whose identity is clear, the associated goods can be found, that is, the goods that can be managed in the cabinet. Even if the associated goods cannot be found temporarily, the probability of subsequent storage and cabinet management can be increased based on the new identification of the goods, gradually increasing the success rate of goods matching.
[0079] In this embodiment, after the warehousing plan is completed, the indicator modules such as the indicator lights of the corresponding container can indicate the location of the container to facilitate warehousing; at the same time, the main control terminal generates a complete identification of the corresponding goods, which is affixed to the goods and then weighed by the weighing equipment after warehousing; the weighing equipment can be set up separately or in the container.
[0080] like Figure 4 , Figure 5 As shown, the outbound process of the system includes the following steps:
[0081] Step 2.1: The information acquisition module obtains the information of the outbound personnel. If the verification is successful, proceed to the next step.
[0082] Step 2.2: Enter the keyword information of the goods to be shipped;
[0083] Step 2.3: The system provides one or more goods with a matching degree higher than the preset value;
[0084] Step 2.3 includes the following steps:
[0085] Step 2.3.1: Segment based on keywords to obtain the corresponding product name and / or brand and / or identification information;
[0086] Step 2.3.2: If it is identification information, it will directly correspond to the specific goods. If there is stock, proceed to step 2.4; otherwise, obtain similar goods and display recommendations.
[0087] If it is the name and / or brand of the goods, it corresponds to one or more goods in stock. The information recorded by the information acquisition module during the warehousing stage is retrieved and displayed.
[0088] Step 2.4: Confirm the information, and the sub-control terminal will open the corresponding container and prompt the customer to pick up the goods;
[0089] Step 2.5: The information acquisition module records the pickup information, and the system controls the corresponding container to close.
[0090] In this embodiment, the outbound stage also requires verification of personnel information, and the process is the same as the inbound stage.
[0091] In this embodiment, the keyword information of the goods to be shipped is input in the form of text or voice, and the system provides one or more goods with a matching degree higher than the preset value;
[0092] Specifically, in this process, the staff may input a certain card a product and the required quantity, which is actually a short sentence, so it needs to be segmented to obtain the corresponding goods name and / or brand and / or identification information; when the identified information is identification information, the goods are clear, and when the goods name and / or brand are identified, the obtained goods information is not unique, so the information recorded by the information acquisition module in the warehousing stage needs to be obtained and displayed; of course, there is also a case where no goods can be taken, which is likely to be an input error or not subject to the warehousing rules of the system, so similar goods can be obtained and recommended.
[0093] In this embodiment, when it is confirmed that the goods can be delivered, the corresponding container is opened, and in the process, light or other means can be used for prompting, and at the same time, the information acquisition module, which is a weighing device and a scanning device and / or a camera, records the goods taking information, which is convenient for management and traceability.
[0094] Obtain the characteristics of the warehoused goods, including goods identification information, goods name, brand, category, goods warehousing characteristics, and goods delivery characteristics; learn the characteristics, and preferentially recommend the goods with higher characteristic matching values.
[0095] The goods warehousing characteristics and the goods delivery characteristics are respectively associated with the objective factors of goods warehousing and delivery.
[0096] The shelves are arrayed, the shelves are associated, and the position of the container relative to the shelf is adjusted based on the objective factors.
[0097] In this embodiment, the association recommendation is based on the association information and its network constructed between goods, and the association is constructed through characteristic identification, including but not limited to goods identification information, goods name, brand, category, goods warehousing characteristics, and goods delivery characteristics, wherein the goods name, brand, category, goods warehousing characteristics, and goods delivery characteristics can be associated, generally by establishing corresponding characteristic vectors and calculating the cosine value between the characteristic vectors to obtain the association, and preferentially recommending the goods with higher characteristic matching values.
[0098] In this embodiment, the following two application scenarios are given for the association of the goods warehousing characteristics and the goods delivery characteristics with the objective factors of goods warehousing and delivery:
[0099] Scenario one
[0100] The goods are consumables and access to various network platform carnivals, so the warehousing may have a peak before the various network platform carnivals, and the delivery quantity during the various network platform carnivals will be much larger than that on ordinary days, that is, they can be combined into several associated containers, and should be convenient for scheduling;
[0101] Scenario two
[0102] The goods are overhead insulated conductors, which are continuous demand characteristic materials, so that the warehousing and delivery conditions are generally stable, that is, they can be stored in the container in combination or dispersion, and only the shelf life needs to be concerned, and the aging condition is considered in scheduling.
[0103] In the embodiment, under the influence of objective factors, the position adjustment of the container can be further realized, the workload of warehousing and delivery is optimized in different scenarios, and the management efficiency of the warehouse is further increased, such as in
[0104] The monitoring mechanism is matched with any container, the monitoring mechanism comprises a gravity sensor arranged corresponding to any container and / or a monitoring camera matched with the goods shelf.
[0105] In the application, the overall monitoring and tracing of the goods delivery are completed through the gravity sensor or the monitoring camera; the information acquisition module records the goods taking information in step 2.5, which can be accurate to the information of each container, but the storage capacity is too large from the perspective of monitoring, the overall monitoring mechanism is used for supervision, the screening of a single container can be avoided, only the abnormal data of the whole needs to be investigated, and the container data or the container data of a day or several days involved in the overall abnormality needs to be processed.
[0106] Although the preferred embodiments of the present application have been described, those skilled in the art can make further changes and modifications to the embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including all the preferred embodiments and all the changes and modifications falling within the scope of the present application.
[0107] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.
Claims
1. An intelligent warehouse racking inbound and outbound control system, comprising racks, with storage cabinets provided in conjunction with the racks, characterized in that: Each of the aforementioned containers is equipped with a sub-control terminal, and the system also includes a main control terminal that cooperates with all of the aforementioned sub-control terminals, and the main control terminal is equipped with an information acquisition module. Goods are entered and exited based on fuzzy matching, and the information acquisition module performs global monitoring. The system's data entry process includes the following steps: Step 1.1: The information acquisition module acquires the information of the personnel entering the warehouse. If the verification is successful, proceed to the next step. Step 1.2: Use the information acquisition module to uniformly identify the goods. If accurate goods information is identified, proceed to Step 1.4; otherwise, proceed to the next step. Step 1.3: Perform fuzzy matching on the goods. If related goods are identified, proceed to the next step; otherwise, directly allocate a new container and proceed to Step 1.
5. Fuzzy matching includes the following steps: Step 1.3.1: Acquire images of the goods using a camera and obtain the weight of the goods using a weighing device; Step 1.3.2: Process the images of the goods; If text exists, extract the text information from the image, segment the text information to obtain keywords about the goods, and obtain the goods details corresponding to the current keywords; If no text exists, extract the region of interest from the image, obtain the logo pattern, search for it, and obtain the goods details corresponding to the current logo pattern; If the image is empty, the size information of the current goods is obtained by referring to the reference frame; Step 1.3.3: Match the goods details or size information with the weight of the goods, select the N groups with the highest confidence and prompt for selection, manually confirm the associated goods. If none of them exist, proceed to the next step. Step 1.3.4: Input text and / or voice using an input device, extract keywords of the goods after recognition, and manually confirm the association with the goods; Step 1.4: Check if there are any goods that can be combined into one container. If so, allocate the corresponding container; otherwise, allocate a new container. Step 1.5: The sub-control terminal controls the container to receive the notification, obtains the complete identification of the corresponding goods through the information acquisition module, affixes it to the goods, and puts them into storage.
2. The intelligent warehouse racking inbound and outbound control system according to claim 1, characterized in that: The information acquisition module includes a host computer, which is configured in conjunction with a main control terminal. The information acquisition module also includes a camera, scanning device, input device, and weighing device that work in conjunction with the host computer. The camera is used to acquire information about personnel entering the warehouse, the scanning device and / or camera are used to uniformly identify the goods, the scanning device and / or camera and / or input device are used to perform fuzzy matching on the goods, and the scanning device and / or input device and weighing device are used to acquire the complete identification of the corresponding goods.
3. The intelligent warehouse racking inbound and outbound control system according to claim 1, characterized in that: The system's outbound process includes the following steps: Step 2.1: The information acquisition module obtains the information of the outbound personnel. If the verification is successful, proceed to the next step. Step 2.2: Enter the keyword information of the goods to be shipped; Step 2.3: The system provides one or more goods with a matching degree higher than the preset value; Step 2.4: Confirm the information, and the sub-control terminal will open the corresponding container and prompt the customer to pick up the goods; Step 2.5: The information acquisition module records the pickup information, and the system controls the corresponding container to close.
4. The intelligent warehouse racking inbound and outbound control system according to claim 3, characterized in that: Step 2.3 includes the following steps: Step 2.3.1: Segment based on keywords to obtain the corresponding product name and / or brand and / or identification information; Step 2.3.2: If it is identification information, it will directly correspond to the specific goods. If there is stock, proceed to step 2.4; otherwise, obtain similar goods and display recommendations. If it is the name and / or brand of the goods, it corresponds to one or more goods in stock. The information recorded by the information acquisition module during the warehousing stage is retrieved and displayed.
5. The intelligent warehouse racking inbound and outbound control system according to claim 4, characterized in that: The system acquires the characteristics of goods entering the warehouse, including goods identification information, goods name, brand, category, goods entering the warehouse, and goods leaving the warehouse; it learns these characteristics and prioritizes recommending goods with higher feature matching values.
6. The intelligent warehouse racking inbound and outbound control system according to claim 5, characterized in that: The characteristics of goods entering and leaving the warehouse are respectively related to objective factors of goods entering and leaving the warehouse.
7. The intelligent warehouse racking inbound and outbound control system according to claim 1, characterized in that: The shelving is arranged in an array, with interconnected shelves, and the position of the containers relative to the shelves is adjusted based on objective factors.
8. The intelligent warehouse racking inbound and outbound control system according to claim 1, characterized in that: Each container is equipped with a monitoring mechanism, which includes a gravity sensor corresponding to each container and / or a monitoring camera that is installed in conjunction with the shelving.
Citation Information
Patent Citations
Warehouse management system
CN106056343A
Automatic warehouse
CN110837880A
Internet of Things warehouse management device with safety protection function
CN115018419A