Intelligent warehousing management system of logistics warehouse

Abstract

The invention relates to an intelligent warehousing management system for a logistics warehouse, and the system comprises a pre-warehousing collection mechanism which is used for carrying out the image collection of a warehousing scene of each express box body, so as to obtain a pre-warehousing collection image; the appearance detection mechanism is used for searching an imaging block which is most similar to a standard appearance pattern of a standard appearance box body of a set logistics operator in an image which is acquired in front of a library and subjected to targeted optimization processing; and carrying out edge similarity degree judgment on the most similar imaging block and a standard shape pattern of a standard shape box body of a set logistics operator so as to determine an edge deformation level. The intelligent warehousing management system of the logistics warehouse is intelligent in design and wide in application. The warehousing scene of each express box body needs to be judged to determine the box body deformation level of the express box body, so that the express box body with the over-high box body deformation level is prohibited from being warehoused based on the determined box body deformation level, and the express storage effect of the logistics warehouse is prevented from being influenced by the express box body with the over-deformation level.

Description

Technical Field

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

[0002] Many advanced modern logistics systems have already possessed advanced technical features such as informatization, digital networking, integration, intelligence, flexibility, agility, visualization, and automation. Many logistics systems and networks have also adopted the latest high-tech technologies such as infrared, laser, wireless, coding, address recognition, automatic identification, positioning, contactless power supply, optical fiber, database, sensor, RFID, satellite positioning, etc. The integrated application of this new technology that integrates optical, mechanical, electrical, and information technologies in the logistics system is the embodiment of the application of Internet of Things technology in the logistics industry. The proposal of the concept of smart logistics conforms to the historical trend and is also in line with the new development trends of automation, networking, visualization, real-time, tracking, and intelligent control in the development of the modern logistics industry, and is in line with the development trend of the Internet of Things.

[0003] Currently, in front of the logistics warehouse of a set logistics operator, it is necessary to judge the warehousing scene of each express box to determine the box deformation level of the express box, so as to prohibit the express box with too high box deformation level from entering the warehouse based on the determined box deformation level, so as to avoid the express box with excessive deformation affecting the express storage effect of the logistics warehouse of the set logistics operator. At the same time, express boxes with standard shape or near-standard shape are allowed to enter the warehouse to achieve the expected storage speed and storage effect. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a logistics warehouse intelligent warehousing management system, which can sequentially adopt a first optimization mechanism, a second optimization mechanism and a third optimization mechanism to successively perform image content optimization operations applying histogram correction, image content optimization operations applying grayscale transformation enhancement and image content optimization operations applying image smoothing on the received pre-warehouse collected images, so as to obtain and output a basic image with higher image quality for subsequent visual identification of the deformation level of the incoming logistics box. It also adopts an appearance detection mechanism composed of multiple customized components to identify the deformation level of the imaging area of ​​the standard appearance box of the logistics operator in the basic image, thereby completing the intelligent analysis of the state of the standard appearance box of the logistics operator, ensuring the standardized storage of express boxes of standard shape in the logistics warehouse of the set logistics operator, and improving the storage effect and efficiency of the express boxes.

[0005] According to the present invention, a logistics warehouse intelligent warehousing management system is provided, the system comprising: The pre-warehouse collection mechanism is located in front of the logistics warehouse of the logistics operator, and is used to perform image collection on the warehouse entry scene of each express box to obtain and output the corresponding pre-warehouse collection image; A first optimization mechanism, connected to the pre-storage acquisition mechanism, is used to perform an image content optimization operation by applying histogram correction on the received pre-storage acquisition image to obtain and output a corresponding first optimized image; A second optimization mechanism, connected to the first optimization mechanism, is used to perform an image content optimization operation of applying grayscale transformation enhancement on the received first optimized image to obtain and output a corresponding second optimized image; a third optimization mechanism, connected to the second optimization mechanism, for performing an image content optimization operation of applying image smoothing on the received second optimized image to obtain and output a corresponding third optimized image; The shape detection mechanism is connected to the third optimization mechanism and includes a target recognition component, a deformation analysis component and a grade output component, the deformation analysis component is respectively connected to the target recognition component and the grade output component, the content judgment mechanism is used to search for the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box in the third optimization image, and the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box is judged by the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level, and the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box is judged by the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level, including: comparing the geometric shape of the edge of the standard shape pattern of the set logistics operator's standard shape box with the geometric shape of the edge of the imaging block; Among them, the step of judging the degree of edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level also includes: using a numerical simulation mode to realize the simulation operation of the processing process of judging the degree of edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level.

[0006] It can be seen that the present invention has at least the following three significant substantive features: Substantive feature A: The first optimization mechanism, the second optimization mechanism and the third optimization mechanism are used in sequence to successively perform image content optimization operations of applying histogram correction, image content optimization operations of applying grayscale transformation enhancement and image content optimization operations of applying image smoothing on the received pre-warehouse collected images, so as to obtain and output a basic image with higher image quality for subsequent visual identification of deformation level of incoming logistics boxes; Substantive feature B: The appearance detection mechanism composed of multiple customized components is used to identify the degree of deformation of the imaging area of ​​the standard appearance box of the logistics operator in the basic image, thereby completing the intelligent analysis of the state of the standard appearance box of the logistics operator; Substantive feature C: Specifically, the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator is searched in the basic image, and the edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator is judged to determine and output the corresponding edge deformation level.

[0007] The logistics warehouse intelligent warehousing management system of the present invention is intelligently designed and widely used. Since it is necessary to judge the warehousing scene of each express box to determine the box deformation level of the express box, express boxes with too high box deformation levels are prohibited from entering the warehouse based on the determined box deformation level, thereby preventing the excessively deformed express boxes from affecting the express storage effect of the logistics warehouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 It is a diagram showing the internal structure of a logistics warehouse intelligent warehousing management system according to the first embodiment of the present invention.

[0009] Figure 2 It is an internal structure diagram of a logistics warehouse intelligent warehousing management system according to the second embodiment of the present invention.

[0010] Figure 3 It is a diagram showing the internal structure of a logistics warehouse intelligent warehousing management system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0011] The implementation scheme of the intelligent warehousing management system for logistics warehouses of the present invention will be described in detail below with reference to the accompanying drawings.

[0012] Figure 1 The internal structure diagram of the logistics warehouse intelligent warehousing management system according to the first embodiment of the present invention is shown, and the system includes: The pre-warehouse collection mechanism is located in front of the logistics warehouse of the logistics operator, and is used to perform image collection on the warehouse entry scene of each express box to obtain and output the corresponding pre-warehouse collection image; A first optimization mechanism, connected to the pre-storage acquisition mechanism, is used to perform an image content optimization operation by applying histogram correction on the received pre-storage acquisition image to obtain and output a corresponding first optimized image; A second optimization mechanism, connected to the first optimization mechanism, is used to perform an image content optimization operation of applying grayscale transformation enhancement on the received first optimized image to obtain and output a corresponding second optimized image; a third optimization mechanism, connected to the second optimization mechanism, for performing an image content optimization operation of applying image smoothing on the received second optimized image to obtain and output a corresponding third optimized image; The shape detection mechanism is connected to the third optimization mechanism and includes a target recognition component, a deformation analysis component and a grade output component, the deformation analysis component is respectively connected to the target recognition component and the grade output component, the content judgment mechanism is used to search for the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box in the third optimization image, and the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box is judged by the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level, and the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box is judged by the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level, including: comparing the geometric shape of the edge of the standard shape pattern of the set logistics operator's standard shape box with the geometric shape of the edge of the imaging block; Specifically, judging the edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level also includes: selecting to use the MATLAB toolbox to complete the simulation and testing of the data processing process of judging the edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level; For example, the shape detection mechanism is connected to the third optimization mechanism and includes a target recognition component, a deformation analysis component and a grade output component, and the deformation analysis component is respectively connected to the target recognition component and the grade output component, including: using different types of programmable logic devices to implement the target recognition component, the deformation analysis component and the grade output component; Among them, the step of judging the edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level also includes: using a numerical simulation mode to implement a simulation operation of a processing process of judging the edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level; Among them, performing edge similarity judgment between the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box and the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level also includes: when a certain imaging block in the third optimized image has the most edge pixel pairs overlapping with the standard shape pattern of the set logistics operator's standard shape box after scaling, judging that the certain imaging block has the highest edge similarity with the standard shape pattern of the set logistics operator's standard shape box; Among them, when a certain imaging block in the third optimized image has the largest number of edge pixel pairs overlapping with the standard outer shape pattern of the set logistics operator's standard outer shape box after scaling, judging that the edge similarity between the certain imaging block and the standard outer shape pattern of the set logistics operator's standard outer shape box is the highest includes: the closed curve of the contour edge of the certain imaging block in the third optimized image is composed of multiple edge pixel points of the certain imaging block.

[0013] Figure 2 It is an internal structure diagram of a logistics warehouse intelligent warehousing management system according to the second embodiment of the present invention.

[0014] exist Figure 2 In, with Figure 1 Differently, the logistics warehouse intelligent warehousing management system shown in the second embodiment of the present invention may also include: An on-site storage device is connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component respectively, and is used to provide data temporary storage services for the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component in a time-sharing manner; The on-site storage device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to provide data temporary storage services for the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component in a time-sharing manner, including: the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component are respectively connected to the on-site storage device using different data channels; Among them, the field storage device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to provide data temporary storage services for the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component in a time-sharing manner, including: the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component use the same reference clock signal.

[0015] Figure 3 It is a diagram showing the internal structure of a logistics warehouse intelligent warehousing management system according to the third embodiment of the present invention.

[0016] exist Figure 3 In, with Figure 1 Differently, the logistics warehouse intelligent warehousing management system shown in the third embodiment of the present invention may also include: a content display device, connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component respectively, and used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component; Wherein, the content display device is connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component respectively, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, including: the various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component displayed simultaneously includes the sleep state or working state of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component; Wherein, the content display device is connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component respectively, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and further includes: the content display device is a liquid crystal display screen or an LED display array; Wherein, the content display device is connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component respectively, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and further includes: the LED display array is composed of a plurality of LED display units arranged in a rectangular matrix pattern; And wherein, the content display device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and also includes: the structure of the multiple LED display units arranged in a rectangular matrix pattern is the same.

[0017] In addition, in the logistics warehouse intelligent warehousing management system, when the edge pixel pairs of a certain imaging block in the third optimized image that overlap with the standard shape pattern of the set logistics operator's standard shape box after scaling are the largest, judging that the edge similarity between the certain imaging block and the standard shape pattern of the set logistics operator's standard shape box is the highest also includes: each edge pixel pair is composed of an edge pixel point of the certain imaging block after scaling and an edge pixel point of the standard shape pattern of the set logistics operator's standard shape box; When the number of edge pixel pairs of a certain imaging block in the third optimized image that overlaps with the standard outer shape pattern of the set logistics operator's standard outer shape box after scaling is the largest, judging that the edge similarity between the certain imaging block and the standard outer shape pattern of the set logistics operator's standard outer shape box is the highest further comprises: when acquiring each edge pixel pair, overlapping the centroid of the certain imaging block after scaling with the centroid of the standard outer shape pattern of the set logistics operator's standard outer shape box; For example, when obtaining each pair of edge pixel points, overlapping the centroid of the scaled imaging block with the centroid of the standard outer shape pattern of the standard outer shape box of the logistics operator includes: the position of the centroid of the scaled imaging block is the first pixel point, and the position of the centroid of the standard outer shape pattern of the standard outer shape box of the logistics operator is the second pixel point, and the overlap of the positions of the first pixel point and the second pixel point indicates that the centroid of the scaled imaging block overlaps with the centroid of the standard outer shape pattern of the standard outer shape box of the logistics operator.

[0018] The various features of the present invention have been described in detail in conjunction with the embodiments. However, it should be understood that these specific descriptions are only exemplary and that the present invention can be most fully interpreted within the scope of the appended claims.

Claims

1. A smart warehousing management system for logistics warehouses, characterized in that: The system comprises: The pre-warehouse collection mechanism is located in front of the logistics warehouse of the logistics operator, and is used to perform image collection on the warehouse entry scene of each express box to obtain and output the corresponding pre-warehouse collection image; A first optimization mechanism, connected to the pre-storage acquisition mechanism, is used to perform an image content optimization operation by applying histogram correction on the received pre-storage acquisition image to obtain and output a corresponding first optimized image; A second optimization mechanism, connected to the first optimization mechanism, is used to perform an image content optimization operation of applying grayscale transformation enhancement on the received first optimized image to obtain and output a corresponding second optimized image; a third optimization mechanism, connected to the second optimization mechanism, for performing an image content optimization operation of applying image smoothing on the received second optimized image to obtain and output a corresponding third optimized image; The shape detection mechanism is connected to the third optimization mechanism and includes a target recognition component, a deformation analysis component and a grade output component, the deformation analysis component is respectively connected to the target recognition component and the grade output component, the content judgment mechanism is used to search for the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box in the third optimization image, and the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box is judged by the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level, and the imaging block that is most similar to the standard shape pattern of the set logistics operator's standard shape box is judged by the standard shape pattern of the set logistics operator's standard shape box to determine and output the corresponding edge deformation level, including: comparing the geometric shape of the edge of the standard shape pattern of the set logistics operator's standard shape box with the geometric shape of the edge of the imaging block; Among them, the step of judging the degree of edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level also includes: using a numerical simulation mode to realize the simulation operation of the processing process of judging the degree of edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level.

2. The intelligent warehousing management system for logistics warehouses as claimed in claim 1, characterized in that: The step of determining the edge similarity between the imaging block that is most similar to the standard shape pattern of the standard shape box of the set logistics operator and the standard shape pattern of the standard shape box of the set logistics operator to determine and output the corresponding edge deformation level further includes: when the edge pixel pairs of a certain imaging block in the third optimized image that overlap with the standard shape pattern of the standard shape box of the set logistics operator after scaling are the largest, determining that the edge similarity between the certain imaging block and the standard shape pattern of the standard shape box of the set logistics operator is the highest; Among them, when a certain imaging block in the third optimized image has the largest number of edge pixel pairs overlapping with the standard outer shape pattern of the set logistics operator's standard outer shape box after scaling, judging that the edge similarity between the certain imaging block and the standard outer shape pattern of the set logistics operator's standard outer shape box is the highest includes: the closed curve of the contour edge of the certain imaging block in the third optimized image is composed of multiple edge pixel points of the certain imaging block.

3. The intelligent warehousing management system for logistics warehouses as claimed in claim 2, characterized in that: The system further comprises: An on-site storage device is connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component respectively, and is used to provide data temporary storage services for the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component in a time-sharing manner; Among them, the on-site storage device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to provide data temporary storage services for the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component in a time-sharing manner, including: the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component are respectively connected to the on-site storage device using different data channels.

4. The intelligent warehousing management system for logistics warehouses as claimed in claim 3, characterized in that: The field storage device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to provide data temporary storage services for the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component in a time-sharing manner, including: the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component use the same reference clock signal.

5. The intelligent warehousing management system for logistics warehouses as claimed in claim 2, characterized in that: The system further comprises: The content display device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component.

6. The intelligent warehousing management system for logistics warehouses as claimed in claim 5, characterized in that: The content display device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, including: the various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component displayed simultaneously includes the sleep state or working state of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component.

7. The intelligent warehousing management system for logistics warehouses according to claim 6, characterized in that: A content display device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and also includes: the content display device is a liquid crystal display screen or an LED display array.

8. The intelligent warehousing management system for logistics warehouses as claimed in claim 7, characterized in that: The content display device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and also includes: the LED display array is composed of a plurality of LED display units arranged in a rectangular matrix pattern.

9. The intelligent warehousing management system for logistics warehouses as claimed in claim 8, characterized in that: The content display device is respectively connected to the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and is used to simultaneously display various status information of the third optimization mechanism, the target recognition component, the deformation analysis component and the level output component, and also includes: the structure of the multiple LED display units arranged in a rectangular matrix pattern is the same.

Images