Logistics dynamic warehousing management and control system

Abstract

The invention relates to a logistics dynamic warehousing management and control system which comprises a multi-view imaging mechanism, a primary conversion mechanism, a secondary conversion mechanism, a final conversion mechanism, a directional recognition component and an access control component. According to the invention, the intelligent level of logistics company management can be improved.

Description

Technical Field

[0001] The present invention relates to the field of logistics management, and in particular to a logistics dynamic warehousing control system. Background Art

[0002] Logistics Management refers to the process of planning, organizing, directing, coordinating, controlling and supervising logistics activities in the process of social reproduction, based on the laws of the flow of material entities, applying the basic principles and scientific methods of management, so as to achieve the best coordination and cooperation of various logistics activities, reduce logistics costs, improve logistics efficiency and economic benefits. Part of the logistics supply chain activities is the process of planning, implementing and controlling the efficient and low-cost flow and storage of goods, services and related information from the place of production to the place of consumption in order to meet customer needs.

[0003] However, there is still room for improvement in the automation level of logistics management of various logistics management companies. For example, the logistics boxes admitted by different logistics management companies need to have their own unique LOGO to complete the corresponding access control, so as to avoid the mixing of logistics boxes of other logistics management companies. Later re-screening requires a lot of manpower and material resources. Obviously, the existing technology lacks a corresponding access control mechanism. Summary of the invention

[0004] In order to solve the technical problems in the prior art, the present invention provides a logistics dynamic warehousing control system, which performs multi-view imaging processing at the same object distance around the logistics box to be stored, so as to obtain multiple frames of imaging pictures corresponding to different viewpoints, and combines the multiple frames of imaging pictures to obtain corresponding multi-view imaging pictures, and sequentially performs artifact removal processing, morphological processing of first dilation and then corrosion, and picture content enhancement processing based on the spatial domain on the multi-view imaging pictures, so as to obtain and output a final-stage conversion picture with better picture quality than the multi-view imaging picture, analyze the color channel values ​​corresponding to each pixel point in the final-stage conversion picture, and the color component value corresponding to each pixel point is the cyan component value, magenta component value, yellow component value and black component value of the pixel point in the CMYK color space, so as to obtain the logistics belonging to the corresponding warehouse for storage. The binary value of the company's benchmark LOGO pattern is intelligently identified by an intelligent recognition model based on the color component values ​​corresponding to each pixel in the final conversion screen, the number of pixels in the final conversion screen and the binary value of the benchmark LOGO pattern. An access control component is introduced to allow the logistics box to enter the warehouse when the benchmark LOGO pattern is intelligently identified in the final conversion screen. It is also used to prohibit the logistics box from entering the warehouse when the benchmark LOGO pattern is not intelligently identified in the final conversion screen, thereby prohibiting the logistics box that does not print the benchmark LOGO pattern of the logistics company that enters the corresponding warehouse from entering the warehouse, completing the real-time access control of each logistics box based on the intelligent recognition structure, thereby improving the speed and efficiency of the logistics company's warehousing management.

[0005] According to the present invention, a logistics dynamic warehousing control system is provided, the system comprising: A multi-view imaging mechanism is used to perform multi-view imaging processing at the same object distance around the logistics box to be stored, so as to obtain multiple frames of imaging pictures corresponding to different view angles, and to combine the multiple frames of imaging pictures to obtain corresponding multi-view imaging pictures; A primary conversion mechanism, connected to the multi-view imaging mechanism, for performing artifact removal processing on the received multi-view imaging picture to obtain and output a corresponding primary conversion picture; A secondary conversion mechanism, connected to the primary conversion mechanism, for performing a morphological process of first dilation and then corrosion on the received primary conversion picture to obtain and output a corresponding secondary conversion picture; The final conversion mechanism and the secondary conversion mechanism are used to perform spatial domain-based picture content enhancement processing on the received secondary conversion picture to obtain and output a corresponding final conversion picture; A directional recognition component is connected to the final conversion mechanism, and is used to parse the color channel values ​​corresponding to each pixel in the received final conversion screen, the color component value corresponding to each pixel is the cyan component value, magenta component value, yellow component value and black component value of the pixel in the CMYK color space, and obtain the binary value of the reference LOGO pattern of the logistics company belonging to the corresponding warehouse, and use a convolutional neural network that has completed a set number of trainings to intelligently identify whether the reference LOGO pattern exists in the final conversion screen according to the color component values ​​corresponding to each pixel in the final conversion screen, the number of pixels in the final conversion screen and the binary value of the reference LOGO pattern. The BP neural network that has completed a fixed number of trainings is an intelligent recognition model, and the value of the set number is proportional to the total number of pixels occupied by the final conversion screen; The admission control component is connected to the directional identification component and is used to execute a control process of allowing the logistics box to enter the warehouse when the reference LOGO pattern exists in the intelligent identification of the final conversion screen, and is also used to execute a control process of prohibiting the logistics box from entering the warehouse when the reference LOGO pattern does not exist in the intelligent identification of the final conversion screen.

[0006] Therefore, the present invention has at least the following four important invention points: Important invention point A: Perform multi-view imaging processing of the same object distance around the logistics box to be stored, so as to obtain multiple frames of imaging pictures corresponding to different viewpoints, combine the multiple frames of imaging pictures to obtain corresponding multi-view imaging pictures, and sequentially perform artifact removal processing, morphological processing of first dilation and then corrosion, and picture content enhancement processing based on the airspace on the multi-view imaging pictures, so as to obtain and output a final conversion picture with better picture quality than the multi-view imaging picture; Important invention point B: Analyze the color channel values ​​corresponding to each pixel in the final conversion screen, the color component value corresponding to each pixel is the cyan component value, magenta component value, yellow component value and black component value of the pixel in the CMYK color space, obtain the binary value of the reference LOGO pattern of the logistics company belonging to the corresponding warehouse, and use the intelligent recognition model to intelligently identify whether the reference LOGO pattern exists in the final conversion screen according to the color component values ​​corresponding to each pixel in the final conversion screen, the number of pixels in the final conversion screen and the binary value of the reference LOGO pattern; Important invention point C: The intelligent recognition model is a convolutional neural network that has completed a set number of trainings, and the value of the set number is proportional to the total number of pixels occupied by the final conversion screen, so that intelligent recognition models with different structures are designed for different multi-view imaging mechanisms; Important invention point D: The introduction of an admission control component is used to execute a control process of allowing the logistics box that is about to enter the warehouse to enter the warehouse when there is a reference LOGO pattern in the final conversion screen of intelligent identification, and is also used to execute a control process of prohibiting the logistics box that is about to enter the warehouse to enter the warehouse when there is no reference LOGO pattern in the final conversion screen of intelligent identification, thereby prohibiting the logistics box that is not printed with the reference LOGO pattern of the logistics company belonging to the corresponding warehouse from entering the warehouse, completing the real-time admission control of each logistics box based on the intelligent identification structure, and improving the speed and efficiency of the logistics company's warehousing management. DETAILED DESCRIPTION

[0007] The implementation scheme of the logistics dynamic warehousing control system of the present invention will be described in detail below.

[0008] Implementation Plan 1 The logistics dynamic warehousing control system shown in the first embodiment of the present invention includes: A multi-view imaging mechanism is used to perform multi-view imaging processing at the same object distance around the logistics box to be stored, so as to obtain multiple frames of imaging pictures corresponding to different view angles, and to combine the multiple frames of imaging pictures to obtain corresponding multi-view imaging pictures; A primary conversion mechanism, connected to the multi-view imaging mechanism, for performing artifact removal processing on the received multi-view imaging picture to obtain and output a corresponding primary conversion picture; For example, the primary conversion mechanism is connected to the multi-view imaging mechanism and is used to perform artifact removal processing on the received multi-view imaging picture to obtain and output the corresponding primary conversion picture, including: using a SOC device to implement the primary conversion mechanism, connected to the multi-view imaging mechanism, and performing artifact removal processing on the received multi-view imaging picture to obtain and output the corresponding primary conversion picture; A secondary conversion mechanism, connected to the primary conversion mechanism, for performing a morphological process of first dilation and then corrosion on the received primary conversion picture to obtain and output a corresponding secondary conversion picture; The final conversion mechanism and the secondary conversion mechanism are used to perform spatial domain-based picture content enhancement processing on the received secondary conversion picture to obtain and output a corresponding final conversion picture; A directional recognition component is connected to the final conversion mechanism, and is used to parse the color channel values ​​corresponding to each pixel in the received final conversion screen, the color component value corresponding to each pixel is the cyan component value, magenta component value, yellow component value and black component value of the pixel in the CMYK color space, and obtain the binary value of the reference LOGO pattern of the logistics company belonging to the corresponding warehouse, and use a convolutional neural network that has completed a set number of trainings to intelligently identify whether the reference LOGO pattern exists in the final conversion screen according to the color component values ​​corresponding to each pixel in the final conversion screen, the number of pixels in the final conversion screen and the binary value of the reference LOGO pattern. The BP neural network that has completed a fixed number of trainings is an intelligent recognition model, and the value of the set number is proportional to the total number of pixels occupied by the final conversion screen; An admission control component connected to the directional recognition component, for executing a control process of allowing the logistics box to enter the warehouse when the reference LOGO pattern exists in the final-level conversion screen, and for executing a control process of prohibiting the logistics box from entering the warehouse when the reference LOGO pattern does not exist in the final-level conversion screen; Among them, using a convolutional neural network that has completed a set number of trainings to intelligently identify whether the reference LOGO pattern exists in the final-stage conversion picture according to the color component values ​​corresponding to each pixel point in the final-stage conversion picture, the number of pixels in the final-stage conversion picture, and the binary value of the reference LOGO pattern includes: the reference LOGO pattern is a digital file in JPEG format; The BP neural network that has completed the fixed number of trainings is an intelligent recognition model, and the value of the set number is proportional to the total number of pixels occupied by the final conversion screen, including: using a numerical conversion function to represent the numerical conversion relationship that the value of the set number is proportional to the total number of pixels occupied by the final conversion screen; The secondary conversion mechanism is connected to the primary conversion mechanism and is used to perform a morphological process of first dilation and then corrosion on the received primary conversion picture to obtain and output a corresponding secondary conversion picture. The secondary conversion mechanism includes: the secondary conversion mechanism includes a first processing component and a second processing component, which respectively perform a dilation process and an corrosion process on the received picture data; Among them, the secondary transformation mechanism is connected to the primary transformation mechanism, and is used to perform morphological processing of first dilation and then corrosion on the received primary transformation picture to obtain and output the corresponding secondary transformation picture. It also includes: the second processing component is connected to the first processing component.

[0009] Implementation Plan 2 According to the second embodiment of the present invention, a dynamic warehousing management and control system for logistics is shown.

[0010] Compared with the first implementation, the logistics dynamic warehousing control system shown in the second implementation may also include the following components: A parallel data interface, for connecting the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, respectively, to receive data from the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, respectively, and to send parallel data from a parallel data bus to the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, respectively; Among them, the parallel data interface is used for connecting the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component respectively, so as to receive data from the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component respectively, and send the parallel data from the parallel data bus to the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component respectively, including: the parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

[0011] Implementation Plan 3 According to the third embodiment of the present invention, a dynamic warehousing management and control system for logistics is shown.

[0012] Compared with the first implementation, the logistics dynamic warehousing control system shown in the third implementation may also include the following components: The user control interface is respectively connected to the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, and is used to receive user control instructions for the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component.

[0013] Next, the specific structure of the logistics dynamic warehousing control system of the present invention is further described.

[0014] In the logistics dynamic warehousing control system according to any embodiment of the present invention: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are connected to the same quartz oscillation device to obtain the timing data provided by the quartz oscillation device, and the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same content storage chip, and the content storage chip is one of FLASH flash memory, SDRAM memory chip and DDR memory chip.

[0015] In the logistics dynamic warehousing control system according to any embodiment of the present invention: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same IIC control bus, and are used to receive various control commands sent by the IIC control bus, and the various control commands are used to respectively configure various working parameters of the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component; The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the IIC control bus to receive various control instructions sent via the IIC control bus.

[0016] In the logistics dynamic warehousing control system according to any embodiment of the present invention: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same MCU controller, and are used for switching the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component between the sleep mode and the working mode respectively under the control of the same MCU controller; And wherein, the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same MCU controller, and are used for switching the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component between the sleep mode and the working mode respectively under the control of the same MCU controller, including: the same MCU controller is designed based on the ARM13 core.

[0017] In addition, in the logistics dynamic warehousing control system, a convolutional neural network that has completed a set number of trainings is used to intelligently identify whether the reference LOGO pattern exists in the final-level conversion screen according to the color component values ​​corresponding to each pixel in the final-level conversion screen, the number of pixels in the final-level conversion screen, and the binary value of the reference LOGO pattern. It also includes: the number of pixels in the final-level conversion screen is the product of the horizontal resolution and the vertical resolution of the final-level conversion screen.

[0018] The logistics dynamic warehousing control system of the present invention is used to address the technical problem of low intelligent management level of logistics companies in the prior art. By performing multi-perspective and same-object-distance imaging processing around the logistics box that is about to be stored, a multi-frame imaging picture corresponding to different perspectives is obtained, and then based on the various visual contents of the multi-frame imaging pictures, an intelligent recognition model is used to intelligently identify whether the logistics box is printed with a LOGO pattern for warehousing access, and corresponding warehousing control processing is performed, thereby improving the intelligent management level of the logistics company.

[0019] As many apparently widely different embodiments of the present invention can be made without departing from the spirit and scope of the present invention, it is to be understood that the invention is not limited to the specific embodiments except as defined in the appended claims.

Claims

1. A logistics dynamic warehousing control system, characterized in that: The system comprises: A multi-view imaging mechanism is used to perform multi-view imaging processing at the same object distance around the logistics box to be stored, so as to obtain multiple frames of imaging pictures corresponding to different view angles, and to combine the multiple frames of imaging pictures to obtain corresponding multi-view imaging pictures; A primary conversion mechanism, connected to the multi-view imaging mechanism, for performing artifact removal processing on the received multi-view imaging picture to obtain and output a corresponding primary conversion picture; A secondary conversion mechanism, connected to the primary conversion mechanism, for performing a morphological process of first dilation and then corrosion on the received primary conversion picture to obtain and output a corresponding secondary conversion picture; The final conversion mechanism and the secondary conversion mechanism are used to perform spatial domain-based picture content enhancement processing on the received secondary conversion picture to obtain and output a corresponding final conversion picture; A directional recognition component is connected to the final conversion mechanism, and is used to parse the color channel values ​​corresponding to each pixel in the received final conversion screen, the color component value corresponding to each pixel is the cyan component value, magenta component value, yellow component value and black component value of the pixel in the CMYK color space, and obtain the binary value of the reference LOGO pattern of the logistics company belonging to the corresponding warehouse, and use a convolutional neural network that has completed a set number of trainings to intelligently identify whether the reference LOGO pattern exists in the final conversion screen according to the color component values ​​corresponding to each pixel in the final conversion screen, the number of pixels in the final conversion screen and the binary value of the reference LOGO pattern. The BP neural network that has completed a fixed number of trainings is an intelligent recognition model, and the value of the set number is proportional to the total number of pixels occupied by the final conversion screen; The admission control component is connected to the directional identification component and is used to execute a control process of allowing the logistics box to enter the warehouse when the reference LOGO pattern exists in the intelligent identification of the final conversion screen, and is also used to execute a control process of prohibiting the logistics box from entering the warehouse when the reference LOGO pattern does not exist in the intelligent identification of the final conversion screen.

2. The dynamic warehousing management and control system for logistics as claimed in claim 1, characterized in that: Using a convolutional neural network that has completed a set number of trainings to intelligently identify whether the reference LOGO pattern exists in the final-stage conversion picture according to the color component values ​​corresponding to each pixel point in the final-stage conversion picture, the number of pixels in the final-stage conversion picture, and the binary value of the reference LOGO pattern includes: the reference LOGO pattern is a digital file in JPEG format; The BP neural network that has completed the fixed number of trainings is an intelligent recognition model, and the value of the set number is proportional to the total number of pixels occupied by the final conversion screen, including: using a numerical conversion function to represent the numerical conversion relationship that the value of the set number is proportional to the total number of pixels occupied by the final conversion screen; The secondary conversion mechanism is connected to the primary conversion mechanism and is used to perform a morphological process of first dilation and then corrosion on the received primary conversion picture to obtain and output a corresponding secondary conversion picture. The secondary conversion mechanism includes: the secondary conversion mechanism includes a first processing component and a second processing component, which respectively perform a dilation process and an corrosion process on the received picture data; Among them, the secondary transformation mechanism is connected to the primary transformation mechanism, and is used to perform morphological processing of first dilation and then corrosion on the received primary transformation picture to obtain and output the corresponding secondary transformation picture. It also includes: the second processing component is connected to the first processing component.

3. The dynamic warehousing control system for logistics as claimed in claim 2 is characterized in that: The system further comprises: A parallel data interface, for connecting the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, respectively, to receive data from the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, respectively, and to send parallel data from a parallel data bus to the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, respectively; Among them, the parallel data interface is used for connecting the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component respectively, so as to receive data from the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component respectively, and send the parallel data from the parallel data bus to the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component respectively, including: the parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

4. The dynamic warehousing control system for logistics as claimed in claim 3 is characterized in that: The system further comprises: The user control interface is respectively connected to the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component, and is used to receive user control instructions for the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component.

5. The dynamic warehousing control system for logistics according to any one of claims 2 to 4, characterized in that: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are connected to the same quartz oscillation device to obtain the timing data provided by the quartz oscillation device, and the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same content storage chip, and the content storage chip is one of FLASH flash memory, SDRAM memory chip and DDR memory chip.

6. The dynamic warehousing control system for logistics according to any one of claims 2 to 4, characterized in that: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same IIC control bus, and are used to receive various control commands sent by the IIC control bus, and the various control commands are used to respectively configure various working parameters of the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component.

7. The dynamic warehousing management and control system for logistics as claimed in claim 6, characterized in that: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the IIC control bus and are used to receive various control instructions sent through the IIC control bus.

8. The dynamic warehousing management and control system for logistics according to any one of claims 2 to 4, characterized in that: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same MCU controller, and are used for switching the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component between the sleep mode and the working mode under the control of the same MCU controller.

9. The dynamic warehousing management and control system for logistics as claimed in claim 8, characterized in that: The primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component are respectively connected to the same MCU controller, and are used for switching the primary conversion mechanism, the secondary conversion mechanism, the final conversion mechanism and the directional identification component between the sleep mode and the working mode respectively under the control of the same MCU controller, including: the same MCU controller is designed based on the ARM13 core.