Article dynamic distribution system for intelligent logistics

Abstract

The invention relates to an object dynamic distribution system for intelligent logistics, and the system comprises a logistics transmission mechanism which is used for transmitting a current object placed on a length detection station to a storage cabinet body matched with a set length interval when receiving a first recognition instruction, and is also used for transmitting the current object to a storage cabinet body matched with the set length interval when receiving a second recognition instruction; the current object is conveyed into other storage cabinet bodies; and the instruction analysis mechanism is used for sending out a first identification instruction when the determined entity length corresponding to the logistics packaging box body is within the set length interval, and otherwise, sending out a second identification instruction. According to the invention, when the determined entity length corresponding to the logistics packaging box body is in the set length interval, the identification instruction is sent to the logistics transmission mechanism to trigger the transmission of the current object placed on the length detection station into the storage cabinet body matched with the set length interval, otherwise, the current object is transmitted into other storage cabinet bodies; therefore, the self-adaptive distribution of the storage cabinet bodies for the articles with different lengths is realized.

Description

Technical Field

[0001] This invention relates to the field of smart logistics, and more particularly to a dynamic distribution system for smart logistics. Background Technology

[0002] Many advanced modern logistics systems already possess advanced technological characteristics such as informatization, digitalization, networking, integration, intelligence, flexibility, agility, visualization, and automation. Many logistics systems and networks also utilize the latest high-tech technologies such as infrared, laser, wireless, coding, addressing, automatic identification, positioning, contactless power supply, fiber optics, databases, sensors, RFID, and satellite positioning. The integrated application of these new technologies, combining optics, mechanics, electronics, and information in logistics systems, embodies the application of IoT technology in the logistics industry. The concept of smart logistics aligns with historical trends and conforms to the new development trends of automation, networking, visualization, real-time monitoring, tracking, and intelligent control in modern logistics, thus aligning with the development trend of the Internet of Things.

[0003] The invention disclosed in application publication number CN114612036A presents a method for automatic pickup identification based on logistics data processing. This method obtains and calculates whether the distance-time between a recorded location and its subsequent locations meets a preset threshold for activity hotspots. A user's daily walking spatiotemporal trajectory presents a chain-like distribution with hotspots as nodes. The trajectory is converted into a hotspot chain. Based on whether a hotspot in the chain contains a pickup point, the method filters out the hotspot preceding the pickup point and the spatiotemporal trajectory between them. The user's previous regular activity hotspot is used as the starting point for pickup. The time-space distance between hotspots and the pickup point is converted into a kernel density estimate to select the regular activity hotspot. The self-service locker is selected based on the distance from the activity hotspot to the locker and the distance from the locker to the pickup point, with the locker location having the highest kernel density estimate being the final selection. This model, based on kernel density estimation and data distance analysis of user activity hotspots, can improve the accuracy and efficiency of automatic pickup.

[0004] In smart logistics management, it is necessary to transfer logistics packaging boxes of different lengths to storage cabinets corresponding to different length ranges to facilitate the positioning and transportation of logistics packaging boxes. However, since the actual length of logistics packaging boxes is difficult to detect accurately and quickly, the selection and storage of storage cabinets corresponding to different length ranges is prone to deviation. Summary of the Invention

[0005] To address the technical problems in related fields, this invention provides a dynamic item allocation system for smart logistics, the system comprising:

[0006] The logistics transmission mechanism is used to transfer the current object placed at the length detection station to a storage cabinet that matches the set length range when a first identification instruction is received, and is also used to transfer the current object placed at the length detection station to another storage cabinet that is different from the storage cabinet that matches the set length range when a second identification instruction is received.

[0007] The content monitoring unit is located directly above the length detection station and is used to perform visual content monitoring processing on the current object placed on the length detection station in order to obtain and output the corresponding real-time monitoring image.

[0008] A signal sharpening device is located near the length detection station and connected to the content monitoring mechanism. It is used to perform sharpening processing based on the Kirsch operator on the received image to obtain and output the corresponding signal sharpening image.

[0009] A filtering and conversion device, connected to the signal sharpening device, is used to perform high-pass filtering and sharpening processing on the received signal sharpening image to obtain and output the corresponding filtered and sharpened image;

[0010] A data enhancement device, connected to the filtering and conversion device, is used to perform image SVD enhancement processing on the received filtered and sharpened image to obtain and output the corresponding data-enhanced image;

[0011] A continuous conversion mechanism, located near the length detection station, includes a quantity conversion unit, a depth conversion unit, and a length conversion unit. The length conversion unit is connected to both the quantity conversion unit and the depth conversion unit. The continuous conversion mechanism is used to identify image blocks of the logistics packaging box in the data-enhanced image based on the grayscale value range corresponding to the logistics packaging box, analyze the horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image, and obtain the overall depth value of the image block of the logistics packaging box in the data-enhanced image. Based on the horizontal coordinate difference and the overall depth value, the mechanism determines the entity length corresponding to the logistics packaging box. The determined entity length corresponding to the logistics packaging box is positively correlated with the horizontal coordinate difference and the overall depth value.

[0012] The instruction parsing mechanism is connected to both the logistics transmission mechanism and the continuous conversion mechanism. It is used to issue a first identification instruction to the logistics transmission mechanism when the physical length corresponding to the determined logistics packaging box is within a set length range, and to issue a second identification instruction to the logistics transmission mechanism when the physical length corresponding to the determined logistics packaging box is outside the set length range.

[0013] The technology of this invention can send an identification command to the logistics transmission mechanism when the physical length of the logistics packaging box is within a set length range, thereby triggering the transmission of the current object placed at the length detection station to the storage cabinet that matches the set length range; otherwise, it will be transmitted to other storage cabinets, thus realizing the adaptive allocation of storage cabinets for objects of different lengths. Attached Figure Description

[0014] The embodiments of the present invention will now be described with reference to the accompanying drawings, wherein:

[0015] Figure 1 This is a schematic diagram of the internal structure of a dynamic item allocation system for smart logistics, shown in the logistics packaging box according to an embodiment of the present invention.

[0016] Figure 2 This is a schematic diagram of the internal structure of a dynamic item allocation system for smart logistics according to embodiment B of the present invention.

[0017] Figure 3 This is a schematic diagram of the internal structure of a dynamic item allocation system for smart logistics according to embodiment C of the present invention. Detailed Implementation

[0018] The following is a detailed description of the implementation scheme of the dynamic item allocation system for smart logistics of the present invention with reference to the accompanying drawings.

[0019] Figure 1 This is a schematic diagram of the internal structure of a dynamic item allocation system for smart logistics, shown in the logistics packaging box according to an embodiment of the present invention. The system includes:

[0020] The logistics transmission mechanism is used to transfer the current object placed at the length detection station to a storage cabinet that matches the set length range when a first identification instruction is received, and is also used to transfer the current object placed at the length detection station to another storage cabinet that is different from the storage cabinet that matches the set length range when a second identification instruction is received.

[0021] For example, a logistics transmission mechanism is used to transmit a current object placed at a length detection station to a storage cabinet matching a set length range when a first identification instruction is received, and is also used to transmit the current object placed at the length detection station to another storage cabinet different from the storage cabinet matching the set length range when a second identification instruction is received. The logistics transmission mechanism includes a belt transmission device and an instruction receiving device, wherein the instruction receiving device is connected to the belt transmission device.

[0022] The content monitoring unit is located directly above the length detection station and is used to perform visual content monitoring processing on the current object placed on the length detection station in order to obtain and output the corresponding real-time monitoring image.

[0023] A signal sharpening device is located near the length detection station and connected to the content monitoring mechanism. It is used to perform sharpening processing based on the Kirsch operator on the received image to obtain and output the corresponding signal sharpening image.

[0024] A filtering and conversion device, connected to the signal sharpening device, is used to perform high-pass filtering and sharpening processing on the received signal sharpening image to obtain and output the corresponding filtered and sharpened image;

[0025] A data enhancement device, connected to the filtering and conversion device, is used to perform image SVD enhancement processing on the received filtered and sharpened image to obtain and output the corresponding data-enhanced image;

[0026] A continuous conversion mechanism, located near the length detection station, includes a quantity conversion unit, a depth conversion unit, and a length conversion unit. The length conversion unit is connected to both the quantity conversion unit and the depth conversion unit. The continuous conversion mechanism is used to identify image blocks of the logistics packaging box in the data-enhanced image based on the grayscale value range corresponding to the logistics packaging box, analyze the horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image, and obtain the overall depth value of the image block of the logistics packaging box in the data-enhanced image. Based on the horizontal coordinate difference and the overall depth value, the mechanism determines the entity length corresponding to the logistics packaging box. The determined entity length corresponding to the logistics packaging box is positively correlated with the horizontal coordinate difference and the overall depth value.

[0027] The instruction parsing mechanism is connected to the logistics transmission mechanism and the continuous conversion mechanism respectively. It is used to issue a first identification instruction to the logistics transmission mechanism when the physical length corresponding to the determined logistics packaging box is within a set length range, and to issue a second identification instruction to the logistics transmission mechanism when the physical length corresponding to the determined logistics packaging box is outside the set length range.

[0028] The process involves identifying image blocks of the logistics packaging box in the data-enhanced image based on the grayscale range corresponding to the logistics packaging box, analyzing the horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image, and obtaining the overall depth value of the image block of the logistics packaging box in the data-enhanced image. The entity length corresponding to the logistics packaging box is determined based on the horizontal coordinate difference and the overall depth value. The determined entity length corresponding to the logistics packaging box is positively correlated with the horizontal coordinate difference, and the determined entity length corresponding to the logistics packaging box is positively correlated with the overall depth value. This includes using a numerical simulation mode. This paper simulates the numerical processing of identifying image blocks of logistics packaging boxes in data-enhanced images based on the grayscale value range corresponding to the logistics packaging boxes. It analyzes the horizontal coordinate difference between pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image, and obtains the overall depth value of the image block of the logistics packaging box in the data-enhanced image. Based on the horizontal coordinate difference and the overall depth value, it determines the entity length corresponding to the logistics packaging box, and establishes a positive correlation between the determined entity length and the horizontal coordinate difference, as well as the positive correlation between the determined entity length and the overall depth value.

[0029] Figure 2 This is a schematic diagram of the internal structure of a dynamic item allocation system for smart logistics according to embodiment B of the present invention.

[0030] Compared to the logistics packaging box of Implementation Scheme B, the dynamic item allocation system for smart logistics shown in Implementation Scheme B may also include the following components:

[0031] A parallel data interface is provided for connection to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively, so as to receive data from the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively, and send parallel data from the parallel data bus to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively.

[0032] The parallel data interface is used to connect to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism respectively, so as to receive data from the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism respectively, and send parallel data from the parallel data bus to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism respectively. The parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

[0033] Figure 3 This is a schematic diagram of the internal structure of a dynamic item allocation system for smart logistics according to embodiment C of the present invention.

[0034] Compared to the logistics packaging box of Implementation Scheme C, the dynamic item allocation system for smart logistics shown in Implementation Scheme C may also include the following components:

[0035] The user control interface is connected to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively, and is used to receive control commands from the user to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively.

[0036] Next, the specific structure of the dynamic item allocation system for smart logistics of the present invention will be further described.

[0037] In a dynamic item allocation system for smart logistics according to any embodiment of the present invention:

[0038] The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are connected to the same quartz oscillator to acquire timing data provided by the quartz oscillator. The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same content storage chip, which is one of FL SH flash memory, SDR M memory chip, and DDR memory chip.

[0039] In a dynamic item allocation system for smart logistics according to any embodiment of the present invention:

[0040] The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same IIC control bus to receive various control commands sent by the IIC control bus. These control commands are used to configure various operating parameters of the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism.

[0041] In a dynamic item allocation system for smart logistics according to any embodiment of the present invention:

[0042] The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are respectively connected to the IIC control bus and are used to receive various control commands sent through the IIC control bus.

[0043] In a dynamic item allocation system for smart logistics according to any embodiment of the present invention:

[0044] The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same MCU controller, and are used to switch between sleep mode and working mode under the control of the same MCU controller.

[0045] In a dynamic item allocation system for smart logistics according to any embodiment of the present invention:

[0046] The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same MCU controller, and are used to switch between sleep mode and working mode under the control of the same MCU controller. The same MCU controller is designed based on the RM13 core of the logistics packaging box.

[0047] Furthermore, in the aforementioned dynamic item allocation system for smart logistics, the system identifies image blocks of the logistics packaging box in the data-enhanced image based on the grayscale value range corresponding to the logistics packaging box. It analyzes the horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image, and obtains the overall depth value of the image block of the logistics packaging box in the data-enhanced image. The system determines the entity length corresponding to the logistics packaging box based on the horizontal coordinate difference and the overall depth value. The determined entity length corresponding to the logistics packaging box is positively correlated with the horizontal coordinate difference, and the positive correlation between the determined entity length corresponding to the logistics packaging box and the overall depth value includes: using a numerical conversion formula to represent a one-to-two numerical conversion relationship between the determined entity length corresponding to the logistics packaging box as an input parameter and the horizontal coordinate difference and the overall depth value as output parameters.

[0048] This invention has at least the following three important inventive points:

[0049] The first step: A continuous conversion mechanism including a quantity conversion unit, a depth conversion unit, and a length conversion unit is adopted to provide reliable and effective hardware resources for the visual analysis of the physical length corresponding to the logistics packaging box.

[0050] The second step involves analyzing the difference in horizontal coordinates between the pixels on either side of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-augmented image, and obtaining the overall depth value of the image block of the logistics packaging box in the data-augmented image. Based on the difference in horizontal coordinates and the overall depth value, the entity length corresponding to the logistics packaging box is determined. The determined entity length corresponding to the logistics packaging box is positively correlated with the difference in horizontal coordinates and the overall depth value.

[0051] Thirdly: When the physical length corresponding to the determined logistics packaging box is within the set length range, a first identification command is sent to the logistics transmission mechanism to trigger the transfer of the current object placed at the length detection station to the storage cabinet that matches the set length range; otherwise, a second identification command is sent to the logistics transmission mechanism to trigger the transfer of the current object placed at the length detection station to another storage cabinet that is different from the storage cabinet that matches the set length range, thereby realizing the adaptive allocation of storage cabinets for objects of different lengths.

[0052] The dynamic item allocation system for smart logistics of the present invention addresses the technical problem in the prior art that it is difficult to accurately identify the physical length of each logistics packaging box, which leads to difficulties in storing items by length. When the physical length of the logistics packaging box is determined by the intelligent system to be within a set length range, an identification command is sent to the logistics transmission mechanism to trigger the transfer of the current item placed at the length detection station to the storage cabinet that matches the set length range. Otherwise, it is transferred to other storage cabinets, thereby achieving adaptive allocation of storage cabinets for items of different lengths.

[0053] It is understood that although the present invention has been disclosed above with reference to preferred embodiments, these embodiments are not intended to limit the present invention. For any person skilled in the art, many possible variations and modifications can be made to the technical solutions of the present invention based on the disclosed technical content, or equivalent embodiments can be modified accordingly, without departing from the scope of the present invention. Therefore, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the present invention shall still fall within the scope of protection of the present invention.

Claims

1. A dynamic allocation system for items for smart logistics, characterized by, The system includes: The logistics transmission mechanism is used to transfer the current object placed at the length detection station to a storage cabinet that matches the set length range when a first identification instruction is received, and is also used to transfer the current object placed at the length detection station to another storage cabinet that is different from the storage cabinet that matches the set length range when a second identification instruction is received. The content monitoring unit is located directly above the length detection station and is used to perform visual content monitoring processing on the current object placed on the length detection station in order to obtain and output the corresponding real-time monitoring image. A signal sharpening device is located near the length detection station and connected to the content monitoring mechanism. It is used to perform sharpening processing based on the Kirsch operator on the received image to obtain and output the corresponding signal sharpening image. A filtering and conversion device, connected to the signal sharpening device, is used to perform high-pass filtering and sharpening processing on the received signal sharpening image to obtain and output the corresponding filtered and sharpened image; A data enhancement device, connected to the filtering and conversion device, is used to perform image SVD enhancement processing on the received filtered and sharpened image to obtain and output the corresponding data-enhanced image; A continuous conversion mechanism, located near the length detection station, includes a quantity conversion unit, a depth conversion unit, and a length conversion unit. The length conversion unit is connected to both the quantity conversion unit and the depth conversion unit. The continuous conversion mechanism is used to identify image blocks of the logistics packaging box in the data-enhanced image based on the grayscale value range corresponding to the logistics packaging box, analyze the horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image, and obtain the overall depth value of the image block of the logistics packaging box in the data-enhanced image. Based on the horizontal coordinate difference and the overall depth value, the mechanism determines the entity length corresponding to the logistics packaging box. The determined entity length corresponding to the logistics packaging box is positively correlated with the horizontal coordinate difference and the overall depth value. The instruction parsing mechanism is connected to both the logistics transmission mechanism and the continuous conversion mechanism. It is used to issue a first identification instruction to the logistics transmission mechanism when the physical length corresponding to the determined logistics packaging box is within a set length range, and to issue a second identification instruction to the logistics transmission mechanism when the physical length corresponding to the determined logistics packaging box is outside the set length range.

2. The dynamic item allocation system for smart logistics as described in claim 1, characterized in that: Based on the grayscale range corresponding to the logistics packaging box, image blocks of the logistics packaging box in the data-enhanced image are identified. The horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging box in the data-enhanced image is analyzed, and the overall depth value of the image block of the logistics packaging box in the data-enhanced image is obtained. The entity length corresponding to the logistics packaging box is determined based on the horizontal coordinate difference and the overall depth value. The determined entity length corresponding to the logistics packaging box is positively correlated with the horizontal coordinate difference, and the determined entity length corresponding to the logistics packaging box is positively correlated with the overall depth value. This includes implementation using a numerical simulation mode. The simulation process involves identifying image blocks of logistics packaging boxes in data-enhanced images based on the grayscale value range corresponding to the logistics packaging boxes, analyzing the horizontal coordinate difference between the pixels on both sides of the longest pixel row in each pixel row occupied by the logistics packaging boxes in the data-enhanced images, obtaining the overall depth value of the image blocks of the logistics packaging boxes in the data-enhanced images, determining the entity length corresponding to the logistics packaging boxes based on the horizontal coordinate difference and the overall depth value, and simulating the numerical processing of the positive correlation between the determined entity length corresponding to the logistics packaging boxes and the horizontal coordinate difference.

3. The dynamic object allocation system for smart logistics of claim 2, wherein, The system also includes: A parallel data interface is provided for connection to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively, so as to receive data from the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively, and send parallel data from the parallel data bus to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively. The parallel data interface is used to connect to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism respectively, so as to receive data from the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism respectively, and send parallel data from the parallel data bus to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism respectively. The parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

4. The object dynamic allocation system for smart logistics of claim 3, wherein, The system also includes: The user control interface is connected to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively, and is used to receive control commands from the user to the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism, respectively.

5. The dynamic item allocation system for smart logistics as described in any one of claims 2-4, characterized in that: The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are connected to the same quartz oscillator to acquire timing data provided by the quartz oscillator. The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same content storage chip, which is one of FL SH flash memory, SDR M memory chip, and DDR memory chip.

6. The dynamic item allocation system for smart logistics as described in any one of claims 2-4, characterized in that: The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same IIC control bus to receive various control commands sent by the IIC control bus. These control commands are used to configure various operating parameters of the signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism.

7. The dynamic item allocation system for smart logistics as described in claim 6, characterized in that: The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are respectively connected to the IIC control bus and are used to receive various control commands sent through the IIC control bus.

8. The dynamic item allocation system for smart logistics as described in any one of claims 2-4, characterized in that: The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same MCU controller, and are used to switch between sleep mode and working mode under the control of the same MCU controller.

9. The dynamic item allocation system for smart logistics as described in claim 8, characterized in that: The signal sharpening device, the filtering and conversion device, the data enhancement device, and the continuous conversion mechanism are each connected to the same MCU controller, and are used to switch between sleep mode and working mode under the control of the same MCU controller. The same MCU controller is designed based on the RM13 core of the logistics packaging box.

Images