Intelligent sorting device for warehouse logistics

Abstract

The intelligent sorting device comprises a storage bin, a plurality of goods shelves are arranged in the storage bin, each goods shelf is divided into a plurality of containing cavities through partition plates, weight sensors are fixedly connected to the interiors of the partition plates, LED indicator lamps are fixedly connected to the outer sides of the partition plates, and photoelectric sensors are fixedly connected to the top ends of the goods shelves and the bottom ends of the partition plates. Sliding grooves are fixedly connected to the two sides of the goods shelf, threaded rods are arranged in the sliding grooves and connected with the sliding grooves through bearings, sliding blocks are connected to the threaded rods in a threaded mode, and a movable plate is connected to one side of each sliding block through a supporting frame. Through the detection of the weight sensor and the photoelectric sensor and the intelligent analysis of the central controller, the position of a target cargo can be accurately positioned, the LED indicating lamp is used for indicating and guiding a picker to quickly find the target cargo, and through the matching of the threaded rod and the sliding block, the automatic movement of the moving plate is realized; and a picker can conveniently take the target goods at the high position.

Description

Technical Field

[0001] This utility model relates to the field of picking device technology, and more specifically, to an intelligent picking device for warehousing and logistics. Background Technology

[0002] In the modern warehousing and logistics sector, with the rapid development of e-commerce and the diversification of consumer demands, warehouse management faces unprecedented challenges. The rise of e-commerce has led to a surge in order volume, making order processing speed and accuracy key competitive factors for businesses. At the same time, consumers are demanding increasingly higher levels of product variety and faster delivery, further exacerbating the complexity and difficulty of warehouse management.

[0003] Existing picking systems primarily rely on manual operation, requiring pickers to locate target goods within a vast warehouse based on order information. This traditional manual picking method is not only time-consuming and labor-intensive but also prone to errors. Faced with thousands of shelves and items, pickers often spend a significant amount of time and energy searching for the right goods, reducing picking efficiency and increasing labor intensity and the probability of errors. Especially during peak periods, when order volumes surge, the workload for pickers increases exponentially, leading to higher error rates and impacting order accuracy and delivery speed. Furthermore, high-bay racking is widely used to improve warehouse space utilization. High-bay racking can fully utilize vertical space in a warehouse, significantly increasing storage capacity and meeting large-scale storage needs. However, high-bay racking also presents new challenges. Because the goods on high-bay racks are positioned at a considerable height, workers face numerous difficulties when retrieving and placing items.

[0004] No effective solutions have yet been proposed to address the problems in the relevant technologies. Utility Model Content

[0005] In view of the problems in the related technologies, this utility model proposes an intelligent picking device for warehousing and logistics to overcome the above-mentioned technical problems existing in the existing related technologies.

[0006] Therefore, the specific technical solution adopted by this utility model is as follows:

[0007] A smart picking device for warehousing and logistics includes a storage compartment with multiple shelves inside. The shelves are divided into multiple placement chambers by partitions. Sliding grooves are fixedly connected to both sides of the shelves. Threaded rods are installed inside the sliding grooves. The threaded rods are connected to the sliding grooves through bearings. A slider is threadedly connected to the threaded rod. A movable plate is connected to one side of the slider through a support frame.

[0008] Furthermore, in order to drive the two threaded rods to rotate synchronously, one end of the threaded rod passes through a sliding groove and is connected to a sprocket. The two sprockets are connected by a chain drive. One of the threaded rods is connected to the output end of the drive motor, and the drive motor is connected to the shelf through a fixed frame.

[0009] Furthermore, in order to control the lifting and lowering of the movable plate, a control lever is provided above the support frame, and a control switch is provided on the control lever. The control switch is electrically connected to the drive motor.

[0010] Furthermore, a weight sensor is fixedly connected inside the partition, an LED indicator is fixedly connected to the outside of the partition, and photoelectric sensors are fixedly connected to the top of the shelf and the bottom of the partition.

[0011] Furthermore, the weight sensor, LED indicator, photoelectric sensor are electrically connected to the central controller, which is located outside the storage compartment.

[0012] Furthermore, in order to enable real-time monitoring of the internal area of ​​the storage compartment, a camera is fixedly connected to the top of the storage compartment. The camera is electrically connected to the central controller, which has a built-in edge computing module.

[0013] Furthermore, the slider is located inside the sliding groove.

[0014] The beneficial effects of this utility model are as follows:

[0015] (1) By setting up cameras and edge computing modules, real-time monitoring and data analysis of the internal area of ​​the storage warehouse can be realized, the material status on the shelves can be monitored, and the location of the target goods can be accurately located through the detection of weight sensors and photoelectric sensors, combined with the intelligent analysis of the central controller. The location of the target goods can be indicated by LED indicator lights, guiding the pickers to quickly find the target goods, thus improving the accuracy and efficiency of picking.

[0016] (2) By cooperating with the threaded rod and the slider, the automatic movement of the moving plate is realized, which can quickly move the picker to the front of the target goods, making it convenient for the picker to pick up the target goods at high positions. This not only improves picking efficiency, but also enhances the safety of operation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1This is a front view of an intelligent picking device for warehousing and logistics according to an embodiment of the present utility model;

[0019] Figure 2 This is a side view of an intelligent picking device for warehousing and logistics according to an embodiment of the present utility model;

[0020] Figure 3 This is a structural diagram of a smart picking device shelf for warehousing and logistics according to an embodiment of the present utility model;

[0021] Figure 4 This is a side view of a shelf for an intelligent picking device used in warehousing and logistics, according to an embodiment of the present utility model.

[0022] In the picture:

[0023] 1. Storage compartment; 2. Shelf; 3. Partition; 4. Placement cavity; 5. Sliding groove; 6. Threaded rod; 7. Slider; 8. Support frame; 9. Moving plate; 10. Sprocket; 11. Drive motor; 12. Control joystick; 13. Control switch; 14. Weight sensor; 15. LED indicator; 16. Photoelectric sensor; 17. Central controller; 18. Camera. Detailed Implementation

[0024] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0025] According to an embodiment of the present invention, an intelligent picking device for warehousing and logistics is provided.

[0026] Example 1

[0027] like Figures 1-4As shown, the intelligent picking device for warehousing and logistics according to an embodiment of the present invention includes a storage compartment 1. The storage compartment 1 has multiple shelves 2 inside, and the shelves 2 are divided into multiple placement chambers 4 by partitions 3. Each placement chamber 4 has a unique identification code corresponding to location information in the system database. A weight sensor 14 is fixedly connected inside the partition 3, and an LED indicator 15 is fixedly connected to the outside of the partition 3. A photoelectric sensor 16 is fixedly connected to the top of the shelf 2 and the bottom of the partition 3. The weight sensor 14, LED indicator 15, and photoelectric sensor 16 are electrically connected to a central controller 17, which is located in the storage compartment. On the outside, the central controller 17 is an industrial-grade PLC controller, located inside the computer room. The central controller 17 has a built-in communication module, enabling data exchange with the Warehouse Management System (WMS). This allows the central controller 17 to receive and process order information from the WMS in real time and feed the processing results back to the WMS, achieving intelligent system management. A camera 18 is fixedly connected to the top of storage compartment 1, electrically connected to the central controller 17. The central controller 17 has a built-in edge computing module. The camera 18 can cover the entire warehouse area, capturing image information from every corner of the shelves 2. The edge computing module is responsible for real-time processing and analysis of this image data, identifying information such as the type, quantity, and location of goods on the shelves 2. Through this scheme, after the Warehouse Management System (WMS) receives an order, it sends the order information to the central controller 17. The central controller 17 determines the location and quantity of the target goods based on the information captured by the camera 18 and the location information in the system database. Once the location and quantity of the target goods are determined, the central controller 17 illuminates the LED indicator 15 corresponding to the target goods, guiding the picker to quickly find the target goods. Pickers receive picking tasks using handheld terminals, which display detailed order information, including the name, quantity, and location of the target items. When picking an item, photoelectric sensor 16 detects movement, and weight sensor 14 detects removal. When an item is removed, both sensors immediately detect the change and transmit the data to the central controller 17. Upon receiving this data, the central controller 17 turns off the corresponding LED indicator 15, facilitating the picker's movement to other items. During picking, the central controller 17 optimizes the picker's route using algorithms. It dynamically adjusts the optimal path based on the current order and warehouse layout, ensuring the picker completes the task in the shortest time and along the shortest route. Pickers can follow the LED indicator 15 to pick materials in a prescribed order, avoiding repetitive walking and ineffective operations, further improving picking efficiency. After picking is complete, sensors provide feedback to the central controller 17 regarding the picker's actions.The central controller 17 updates the picking task list to the pickers based on feedback from the sensors. If a picker makes an error or omission during the picking process, the central controller 17 will immediately issue an alarm and prompt the picker through LED indicator 15, reminding them to correct the mistake. The central controller 17 also records the picker's operational data for subsequent analysis and optimization, helping warehouse managers continuously improve the picking process and enhance overall operational efficiency.

[0028] like Figures 1-4 As shown, sliding grooves 5 are fixedly connected to both sides of the shelf 2. Threaded rods 6 are provided inside the sliding grooves 5. The threaded rods 6 are connected to the sliding grooves 5 through bearings. A slider 7 is threadedly connected to the threaded rod 6 and slidably disposed inside the sliding grooves 5. A movable plate 9 is connected to one side of the slider 7 through a support frame 8. One end of the threaded rod 6 passes through the sliding groove 5 and is connected to a sprocket 10. The two sprockets 10 are connected by a chain drive. One of the threaded rods 6 is connected to the output end of a drive motor 11. The drive motor 11 is connected to the shelf 2 through a fixed frame. The shelf 11 is fixed to the outer side 2 of the shelf. An operating lever 12 is provided above the support frame 8. A control switch 13 is provided on the operating lever 12 and is electrically connected to the drive motor 11. With the above solution, when the picker needs to retrieve a target item from a high place, they can stand on the moving plate 9 and press the control switch 13 to control the drive motor 11 to rotate forward, which drives the two sprockets 10 to rotate, thereby driving the threaded rod 6 to rotate. The rotation of the threaded rod 6 drives the slider 7 and the support frame 8 to move, thereby moving the moving plate 9 upward, allowing the picker to retrieve the target item from the high place. After the retrieval is completed, the drive motor 11 can be reversed by pressing the control switch 13, so that the moving plate 9 moves downward and contacts the ground, improving picking efficiency.

[0029] In summary, by utilizing the above-mentioned technical solution of this utility model, and by setting up a camera 18 and an edge computing module, real-time monitoring and data analysis of the internal area of ​​the storage compartment 1 can be achieved, monitoring the material status on the shelf 2. Through the detection of the weight sensor 14 and the photoelectric sensor 16, combined with the intelligent analysis of the central controller 17, the position of the target goods can be accurately located, and indicated by the LED indicator 15, guiding the picker to quickly find the target goods, thus improving the accuracy and efficiency of picking. Furthermore, through the cooperation of the threaded rod 6 and the slider 7, the automatic movement of the moving plate 9 can be achieved, which can quickly move the picker to the front of the target goods, making it convenient for the picker to retrieve the target goods from high places, which not only improves picking efficiency but also enhances operational safety.

[0030] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.

Claims

1. An intelligent picking device for warehousing and logistics, characterized in that, It includes a storage compartment (1), inside which are multiple shelves (2), the shelves (2) are divided into multiple placement cavities (4) by partitions (3), sliding grooves (5) are fixedly connected to both sides of the shelves (2), and threaded rods (6) are provided inside the sliding grooves (5). The threaded rods (6) are connected to the sliding grooves (5) by bearings, and sliders (7) are threadedly connected to the threaded rods (6). A movable plate (9) is connected to one side of the sliders (7) by a support frame (8).

2. The intelligent picking device for warehousing and logistics according to claim 1, characterized in that, One end of the threaded rod (6) passes through the sliding groove (5) and is connected to the sprocket (10). The two sprockets (10) are connected by a chain drive. One of the threaded rods (6) is connected to the output end of the drive motor (11). The drive motor (11) is connected to the shelf (2) through a fixed frame.

3. The intelligent picking device for warehousing and logistics according to claim 1, characterized in that, A control lever (12) is provided above the support frame (8), and a control switch (13) is provided on the control lever (12). The control switch (13) is electrically connected to the drive motor (11).

4. The intelligent picking device for warehousing and logistics according to claim 1, characterized in that, A weight sensor (14) is fixedly connected inside the partition (3), an LED indicator (15) is fixedly connected to the outside of the partition (3), and a photoelectric sensor (16) is fixedly connected to the top of the shelf (2) and the bottom of the partition (3).

5. The intelligent picking device for warehousing and logistics according to claim 4, characterized in that, The weight sensor (14), LED indicator (15) and photoelectric sensor (16) are electrically connected to the central controller (17), which is located outside the storage compartment (1).

6. The intelligent picking device for warehousing and logistics according to claim 1, characterized in that, A camera (18) is fixedly connected to the top of the storage compartment (1). The camera (18) is electrically connected to the central controller (17). The central controller (17) has a built-in edge computing module.

7. The intelligent picking device for warehousing and logistics according to claim 1, characterized in that, The slider (7) is located inside the sliding groove (5).

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