CN118014323B - Comprehensive service management platform for digital human interaction - Google Patents

Comprehensive service management platform for digital human interaction Download PDF

Info

Publication number
CN118014323B
CN118014323B CN202410420244.9A CN202410420244A CN118014323B CN 118014323 B CN118014323 B CN 118014323B CN 202410420244 A CN202410420244 A CN 202410420244A CN 118014323 B CN118014323 B CN 118014323B
Authority
CN
China
Prior art keywords
package
module
locker
pixel
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410420244.9A
Other languages
Chinese (zh)
Other versions
CN118014323A (en
Inventor
马峰
朱冬冬
宫国阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Yunju Internet Network Technology Co ltd
Original Assignee
Nanjing Yunju Internet Network Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Yunju Internet Network Technology Co ltd filed Critical Nanjing Yunju Internet Network Technology Co ltd
Priority to CN202410420244.9A priority Critical patent/CN118014323B/en
Publication of CN118014323A publication Critical patent/CN118014323A/en
Application granted granted Critical
Publication of CN118014323B publication Critical patent/CN118014323B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to the technical field of express service management, and particularly discloses a comprehensive service management platform for digital human interaction, which comprises a first user layer, an application layer and a second user layer, wherein the comprehensive service management platform is used for solving the problem that human eyes subjectively judge the size matching degree between express and a locker and is low in efficiency; the edge pixels of the package image information are obtained by processing the package image information, package size information and the size information required by the intelligent locker are obtained according to the processed package image information, and the occupation ratio of the package size information in the intelligent locker is calculated, so that automatic matching is realized, inaccuracy of subjective judgment depending on human eyes is avoided, and the matching time cost is reduced; the invention can intelligently manage the service condition of the locker, effectively utilize the space of the locker body, optimize the allocation of the locker grids, and is beneficial to improving the utilization rate and management efficiency of the locker.

Description

Comprehensive service management platform for digital human interaction
Technical Field
The invention relates to the technical field of express service management, in particular to a comprehensive service management platform for digital human interaction.
Background
The express delivery locker is convenient, safe and self-service express delivery access equipment, is widely applied to various places, provides a quick and efficient mode, enables a user to register and retrieve express delivery packages, does not need to wait for delivery of an express delivery person, and greatly saves time of the user. However, the conventional express delivery locker is often inflexible in size design, cannot adapt to packages of various sizes, so that large articles of users cannot be stored, practicability of the locker is limited, space of the locker is wasted due to the fact that packages of small sizes are small, and accordingly utilization rate of the locker is reduced.
The Chinese patent application number 201711245562.2 discloses an intelligent express terminal locker which comprises a locker body, wherein the front part of the locker body is provided with an opening, the central positions of the left side and the right side of the locker body are respectively provided with a left transverse door and a right transverse door, the left transverse door and the right transverse door are of rolling door structures, and a left transverse rolling curtain of the left transverse door and a right transverse rolling curtain of the right transverse door are symmetrically and slidingly arranged at the central position of the inside of the locker body respectively; the left transverse rolling curtain and the right transverse rolling curtain divide the cabinet body into an upper layer and a lower layer; the purpose of flexibly adjusting the storage space of the express delivery locker is achieved through the partition board with the flexibly adjusted position; the roller shutter door structure is arranged, and the space adjustment and the opening and closing of the express deposit cabinet are convenient and quick.
The prior locker subjectively judges the size matching degree between the express and the locker through human eyes, so that time and effort are consumed, the efficiency is low, express articles are possibly damaged due to extrusion, the problem is urgently solved, and a solution is not found in the prior publication, so that the technical scheme is provided.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the comprehensive service management platform for digital human interaction, which is used for processing the package image information to obtain edge pixels of the package image information, obtaining package size information and size information required by an intelligent locker according to the processed package image information, calculating the occupation ratio of the package size information in the intelligent locker, realizing automatic matching, avoiding inaccuracy depending on subjective judgment of human eyes and reducing matching time cost; the invention can intelligently manage the service condition of the locker, effectively utilize the space of the locker body, optimize the allocation of the locker grids, and be beneficial to improving the utilization rate and the management efficiency of the locker so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The comprehensive service management platform for digital human interaction comprises a first user layer, an application layer and a second user layer, wherein the first user layer is used for an express courier to verify identity and access express; the application layer is used for recommending the required intelligent locker size according to the express size information; the second user layer is used for verifying the identity of the user and accessing the express, and the application layer comprises an intelligent locker, a voice interaction module, a locker body occupation statistics module, an information processing module, a locker allocation module, a parcel placement instruction sending module and a notification feedback module; the information processing module comprises an image processing unit and a size information analysis unit, wherein the image processing unit comprises an image processing subunit, an image gradient calculation subunit and a threshold analysis subunit; the image processing subunit is used for carrying out graying and normalization processing on the package image; the image gradient calculating subunit is used for calculating the gradient of the package image; the threshold analysis subunit is used for carrying out threshold processing on the pixel gradient amplitude values in the wrapping image, respectively calculating the pixel gradient amplitude values of four pixel positions adjacent to the target pixel in the wrapping image, calculating the average value of the four pixel gradient amplitude values, and comparing the pixel amplitude of the target pixel with the threshold value, wherein when the pixel amplitude of the target pixel is larger than the threshold value, the target pixel is an edge pixel; when the pixel amplitude of the target pixel is less than or equal to the threshold value, the target pixel is a non-edge pixel.
As a further scheme of the invention, the first user layer comprises a first login module, a first package inquiry module, a package scanning module and a package placement instruction receiving module; the first login module is used for carrying out identity verification and login on the courier; the first package inquiring module is used for sending a voice command by the courier to inquire the storage position and the access state of the package; the package scanning module is used for scanning the package to obtain package image information and size information; the package placement instruction receiving module is used for receiving the package placement instruction.
As a further scheme of the invention, the application layer comprises an intelligent locker, a voice interaction module, a locker body occupation statistics module, an information processing module, a locker allocation module, a parcel placement instruction sending module and a notification feedback module; the intelligent locker is used for storing and taking out packages and providing a voice interaction function by combining a digital person; the voice interaction module is used for receiving the voice instruction and displaying the storage position and the access state of the package; the cabinet occupation statistics module is used for counting occupied and unoccupied intelligent deposit cabinets; the information processing module is used for processing the package image information and obtaining package size information according to the package image information; the cabinet allocation module is used for generating the size information required by the intelligent locker according to the package image information and the size information and sending the size information to the matched intelligent locker; the package placement instruction sending module is used for sending package information and intelligent locker information matched with the package to the first user layer; the notification feedback module is used for sending the package information which is successfully stored to the first user layer and the second user layer respectively.
As a further aspect of the present invention, the image gradient calculating subunit is configured to calculate a gradient of the wrapped image, where a formula for calculating the gradient of the wrapped image is:
；
；
Wherein: for pixel location/>, in the wrapped image Pixel gradient amplitude,/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For pixel position/>Is a pixel gradient direction of (c).
As a further scheme of the invention, the cabinet allocation module is used for generating the size information required by the intelligent locker according to the package image information and the size information, wherein the size information required by the intelligent locker comprises the minimum external cubic volume of the package, the length of the minimum external cubic volume, the width of the minimum external cubic volume and the height of the minimum external cubic volume, and the calculation formula of the minimum external cubic volume of the package is as follows:
；
Wherein: for the minimum circumscribed cubic volume of the package,/> Length of smallest circumscribed cube of package,/>Width of smallest circumscribed cube of package,/>The height of the smallest circumscribing cube for the package.
As a further scheme of the invention, the information processing module obtains package size information according to package image information, extracts package size information according to edge pixels, the package size information comprises the maximum length of a package, the maximum width of the package and the maximum height of the package, calculates the occupation ratio of the package in the intelligent locker according to the package size information, and the calculation formula of the occupation ratio is as follows:
；
Wherein: for the occupancy ratio of packages in intelligent locker,/> For maximum length of package,/>For maximum width of package,/>For maximum height of package,/>Length of smallest circumscribed cube of package,/>Width of smallest circumscribed cube of package,/>The height of the smallest circumscribing cube for the package.
As a further scheme of the invention, the second user layer comprises a second login module, a second package query module, a package component taking module and a component taking recording module; the second login module is used for the user to carry out identity verification and login; the second package inquiring module is used for sending voice instructions to the user and inquiring the storage position and the access state of the package; the package taking module is used for displaying an intelligent express cabinet where a user inquires a target package; and the pickup recording module is used for recording the pickup history of the user.
The invention relates to a comprehensive service management platform for digital human interaction, which has the technical effects and advantages that: according to the invention, the edge pixels of the package image information are obtained by processing the package image information, the package size information and the size information required by the intelligent locker are obtained according to the processed package image information, and the occupation ratio of the package size information in the intelligent locker is calculated, so that automatic matching is realized, inaccuracy of subjective judgment depending on human eyes is avoided, and the matching time cost is reduced; the invention can intelligently manage the service condition of the locker, effectively utilize the space of the locker body, optimize the allocation of the locker grids, and is beneficial to improving the utilization rate and management efficiency of the locker.
Drawings
Fig. 1 is a schematic structural diagram of a comprehensive service management platform for digital human interaction according to a first embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made in detail, but not necessarily with reference to the accompanying drawings. Based on the technical scheme in the invention, all other technical schemes obtained by a person of ordinary skill in the art without making creative work fall within the protection scope of the invention.
Example 1
Fig. 1 shows a schematic structural diagram of an integrated service management platform for digital human interaction according to a first embodiment of the present invention. As shown in fig. 1, an integrated service management platform for digital human interaction in this embodiment includes a first user layer, an application layer, and a second user layer. Wherein:
The first user layer is connected with the application layer and is used for the courier to verify the identity and access the express;
the application layer is connected with the second user layer and is used for recommending the required intelligent locker size according to the express size information;
the second user layer is used for the user to verify the identity and access the express.
In the embodiment of the invention, the first user layer comprises a first login module, a first package inquiry module, a package scanning module and a package placement instruction receiving module. Wherein,
The first login module is connected with the first package inquiry module and is used for the courier to carry out identity verification and login;
The first package inquiring module is connected with the package scanning module and is used for enabling the courier to send voice instructions to inquire the storage position and the access state of the package;
the package scanning module and the package placement instruction receiving module are used for scanning packages to obtain package image information and size information;
The package placement instruction receiving module is used for receiving the package placement instruction.
In the embodiment of the invention, the application layer comprises an intelligent locker, a voice interaction module, a locker body occupation statistics module, an information processing module, a locker allocation module, a package placement instruction sending module and a notification feedback module. Wherein,
The intelligent locker is used for storing and taking out packages and providing a voice interaction function by combining a digital person;
the voice interaction module is used for receiving the voice instruction and displaying the storage position and the access state of the package;
The cabinet body occupation statistics module is used for counting occupied and unoccupied intelligent locker, and is beneficial to optimizing distribution and management of the intelligent locker and improving the utilization rate of the intelligent locker;
The information processing module is used for processing the package image information, obtaining package size information according to the package image information, processing the package image information, extracting the size information and providing necessary data for matching and distributing the intelligent register cabinet;
the cabinet allocation module is used for generating the size information required by the intelligent locker according to the package image information and the size information, sending the size information to the matched intelligent locker, and matching the package with the proper intelligent locker, so that automatic locker allocation is realized;
The package placement instruction sending module is used for sending package information and intelligent locker information matched with the package to the first user layer;
The notification feedback module is used for sending the package information which is successfully stored to the first user layer and the second user layer respectively.
The intelligent locker is connected with the voice interaction module, the locker body occupation statistics module and the information processing module are respectively connected with the locker allocation module, and the locker allocation module is respectively connected with the intelligent locker, the parcel placement instruction sending module and the notification feedback module.
The cabinet grid distribution module is used for generating the size information required by the intelligent locker according to the package image information and the size information, wherein the size information required by the intelligent locker comprises the minimum external cubic volume of the package, the length of the minimum external cubic volume, the width of the minimum external cubic volume and the height of the minimum external cubic volume, and the calculation formula of the minimum external cubic volume of the package is as follows:
；
Wherein: for the minimum circumscribed cubic volume of the package,/> Length of smallest circumscribed cube of package,/>Width of smallest circumscribed cube of package,/>The height of the smallest circumscribing cube for the package.
By calculating the minimum external cubic volume of the packages, the most suitable size of the locker can be generated for each package, so that the optimal space utilization is realized, the waste of the locker is reduced, and the overall storage efficiency is improved; the generated intelligent locker required size information considers the actual size of the package, avoids oversized or undersized lockers, reduces space waste, is beneficial to improving the utilization rate of the lockers and reduces the operation cost; according to the size information of the package, the size information required by the intelligent locker with strong adaptability can be dynamically generated, so that the system can adapt to packages with different sizes and shapes, and the flexibility and applicability of the system are improved.
The information processing module comprises an image processing unit and a size information analysis unit, the image processing unit is used for processing the package image information, and the size information analysis unit is used for analyzing the size information of the package; the image processing unit comprises an image processing subunit, an image gradient calculating subunit and a threshold analyzing subunit; the image processing subunit is connected with the image gradient calculating subunit, and the image gradient calculating subunit is connected with the threshold value analyzing subunit.
The image processing subunit is used for carrying out gray scale and normalization processing on the package image, playing roles in compressing the image and reducing the influence of ambient illumination, and the formula for carrying out normalization processing is as follows:
；
Wherein: For normalized pixel position/> Pixel gray value of/>For pixel location/>, in the wrapped imagePixel gray value of/>Is Gamma value;
The image gradient calculating subunit is used for calculating the gradient of the package image, and the formula for calculating the gradient of the package image is as follows:
；
；
Wherein: for pixel location/>, in the wrapped image Pixel gradient amplitude,/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For pixel position/>Is a pixel gradient direction of (1);
The threshold analysis subunit is used for carrying out threshold processing on the pixel gradient amplitude values in the wrapping image, respectively calculating the pixel gradient amplitude values of four pixel positions adjacent to the target pixel in the wrapping image, calculating the average value of the four pixel gradient amplitude values, and comparing the pixel amplitude of the target pixel with the threshold value, wherein when the pixel amplitude of the target pixel is larger than the threshold value, the target pixel is an edge pixel; when the pixel amplitude of the target pixel is less than or equal to the threshold value, the target pixel is a non-edge pixel.
Through gray scale standardization, the influence of ambient light on the image can be effectively reduced, and the contrast of the image is improved, so that the subsequent image processing is more accurate; the Gamma value in the normalization process can be used for adjusting the contrast of the image, which is helpful for compressing the dynamic range of the image, so that the image is more suitable for the subsequent processing steps; the image gradient calculation is helpful for capturing edge and texture information in the image, and the characteristics of the object edge in the image can be obtained by calculating the gradient amplitude and direction of the pixel position; the threshold analysis subunit is used for performing edge detection, dividing the target pixels into edge pixels and non-edge pixels, helping to further extract key features in the image, and providing more targeted information for subsequent processing steps; normalization processing and threshold analysis are helpful for reducing the influence of illumination change on image processing, and the robustness of the algorithm is improved.
With pixel positionsAs an example of a target pixel, a target pixel/>, is calculatedIs used for determining the pixel gradient amplitude of the package image and the target pixel/>Four pixel positions of upper, lower, left and right adjacent to each other, wherein the upper pixel position adjacent to the target pixel is/>The lower pixel position adjacent to the target pixel is/>The left pixel position adjacent to the target pixel is/>Right pixel position/>, where target pixel is adjacentRespectively calculating pixel positions、/>、/>/>Is a pixel gradient magnitude of (1);
Wherein the pixel position is at The pixel gradient amplitude calculation formula of (1) is:
；
Wherein: for pixel position at/> Pixel gradient amplitude,/>For normalized pixel position/>Pixel gray value of/>The normalized pixel position isPixel gray value of/>For normalized pixel position/>Is used for the pixel gray value of (1),For normalized pixel position/>Is a pixel gray value of (1);
Pixel position in The pixel gradient amplitude calculation formula of (1) is:
；
Wherein: for pixel position at/> Pixel gradient amplitude,/>For normalized pixel position/>Pixel gray value of/>The normalized pixel position isPixel gray value of/>For normalized pixel position/>Is used for the pixel gray value of (1),For normalized pixel position/>Is a pixel gray value of (1);
Pixel position in The pixel gradient amplitude calculation formula of (1) is:
；
Wherein: for pixel position at/> Pixel gradient amplitude,/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Is a pixel gray value of (1);
Pixel position in The pixel gradient amplitude calculation formula of (1) is:
；
Wherein: for pixel position at/> Pixel gradient amplitude,/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Pixel gray value of/>For normalized pixel position/>Is a pixel gray value of (1);
Recalculating pixel positions at 、/>、/>/>As the threshold value of the target pixel, the calculation formula of the threshold value of the target pixel is as follows:
；
Wherein: is the threshold value of the target pixel,/> For pixel position at/>Pixel gradient amplitude,/>For pixel position at/>Pixel gradient amplitude,/>For pixel position at/>Pixel gradient amplitude,/>For pixel position at/>Is a pixel gradient magnitude of (1);
to target pixel Pixel amplitude/>And threshold/>Comparing when the target image/>Is larger than the threshold/>When the target pixel is an edge pixel; when the pixel amplitude of the target pixel/>Less than or equal to threshold/>When the target pixel is a non-edge pixel.
In the embodiment of the invention, an information processing module obtains package size information according to package image information, extracts package size information according to edge pixels, wherein the package size information comprises the maximum length of a package, the maximum width of the package and the maximum height of the package, and calculates the occupation ratio of the package in an intelligent locker according to the package size information, wherein the calculation formula of the occupation ratio is as follows:
；
Wherein: for the occupancy ratio of packages in intelligent locker,/> For maximum length of package,/>For maximum width of package,/>For maximum height of package,/>Length of smallest circumscribed cube of package,/>Width of smallest circumscribed cube of package,/>The height of the smallest circumscribing cube for the package.
Through the calculation of the occupation ratio, the storage effect of the package in the intelligent locker can be evaluated, the occupation ratio is closer to 1, the package is stored in the grids, more space is utilized, the waste of storage space is reduced, meanwhile, the intelligent system is facilitated to optimize the storage layout of the package, the packages with different sizes can be more reasonably distributed in each grid of the intelligent locker, and accordingly the overall intelligent degree is improved.
By calculating pixel gradient and performing threshold processing, edge information in an image can be effectively captured, so that subsequent processing is more concentrated on the outline of the package, and the edge accuracy is improved; the maximum length, the maximum width and the maximum height of the package are key parameters for the distribution of the intelligent locker, so that the most suitable locker for storing the package can be determined; through the calculation of the occupation ratio, the reasonable degree of the package in the cabinet grid is evaluated, the waste of storage space is avoided, and the overall efficiency of the intelligent locker is improved; the package size information and the occupation ratio obtained through image processing are beneficial to intelligent locker distribution of the locker grids more intelligently, the locker efficiency is improved, and meanwhile subjectivity and error of human judgment are reduced.
In the embodiment of the invention, the second user layer comprises a second login module, a second package query module, a package component taking module and a component taking recording module. Wherein,
The second login module is connected with the second package query module and is used for the user to carry out identity verification and login;
the second package inquiring module is connected with the package picking module and is used for a user to send a voice instruction to inquire the storage position and the access state of the package;
the parcel pickup module is connected with the parcel pickup recording module and is used for displaying an intelligent express cabinet where a user inquires a target parcel;
And the pickup recording module is used for recording the pickup history of the user.
According to the embodiment of the invention, the edge pixels of the package image information are obtained by processing the package image information, the package size information and the size information required by the intelligent locker are obtained according to the processed package image information, and the occupation ratio of the package size information in the intelligent locker is calculated, so that automatic matching is realized, inaccuracy relying on subjective judgment of human eyes is avoided, and the matching time cost is reduced; the invention can intelligently manage the service condition of the locker, effectively utilize the space of the locker body, optimize the allocation of the locker grids, and is beneficial to improving the utilization rate and management efficiency of the locker.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, alternatives, and alternatives falling within the spirit and scope of the invention.

Claims (5)

1. The comprehensive service management platform for digital human interaction comprises a first user layer, an application layer and a second user layer, wherein the first user layer is used for an express courier to verify identity and access express; the application layer is used for recommending the required intelligent locker size according to the express size information; the second user layer is used for verifying the identity of the user and accessing the express, and is characterized in that the application layer comprises an intelligent locker, a voice interaction module, a locker body occupation statistics module, an information processing module, a locker grid distribution module, a parcel placement instruction sending module and a notification feedback module; the information processing module comprises an image processing unit and a size information analysis unit, wherein the image processing unit comprises an image processing subunit, an image gradient calculation subunit and a threshold analysis subunit; the image processing subunit is used for carrying out graying and normalization processing on the package image; the image gradient calculating subunit is used for calculating the gradient of the package image; the threshold analysis subunit is used for carrying out threshold processing on the pixel gradient amplitude values in the wrapping image, respectively calculating the pixel gradient amplitude values of four pixel positions adjacent to the target pixel in the wrapping image, calculating the average value of the four pixel gradient amplitude values, and comparing the pixel amplitude of the target pixel with the threshold value, wherein when the pixel amplitude of the target pixel is larger than the threshold value, the target pixel is an edge pixel; when the pixel amplitude of the target pixel is smaller than or equal to the threshold value, the target pixel is a non-edge pixel;
The image gradient calculating subunit is used for calculating the gradient of the package image, and the formula for calculating the gradient of the package image is as follows:
；
The cabinet grid distribution module is used for generating the size information required by the intelligent locker according to the package image information and the size information, wherein the size information required by the intelligent locker comprises the minimum external cubic volume of the package, the length of the minimum external cubic volume, the width of the minimum external cubic volume and the height of the minimum external cubic volume, and the calculation formula of the minimum external cubic volume of the package is as follows:
。
2. The integrated service management platform for digital human interaction according to claim 1, wherein the first user layer comprises a first login module, a first package inquiry module, a package scanning module and a package placement instruction receiving module; the first login module is used for carrying out identity verification and login on the courier; the first package inquiring module is used for sending a voice command by the courier to inquire the storage position and the access state of the package; the package scanning module is used for scanning the package to obtain package image information and size information; the package placement instruction receiving module is used for receiving the package placement instruction.
3. The comprehensive service management platform for digital human interaction according to claim 2, wherein the application layer comprises an intelligent locker, a voice interaction module, a locker occupancy statistics module, an information processing module, a locker allocation module, a parcel placement instruction sending module and a notification feedback module; the intelligent locker is used for storing and taking out packages and providing a voice interaction function by combining a digital person; the voice interaction module is used for receiving the voice instruction and displaying the storage position and the access state of the package; the cabinet occupation statistics module is used for counting occupied and unoccupied intelligent deposit cabinets; the information processing module is used for processing the package image information and obtaining package size information according to the package image information; the cabinet allocation module is used for generating the size information required by the intelligent locker according to the package image information and the size information and sending the size information to the matched intelligent locker; the package placement instruction sending module is used for sending package information and intelligent locker information matched with the package to the first user layer; the notification feedback module is used for sending the package information which is successfully stored to the first user layer and the second user layer respectively.
4. The integrated service management platform for digital human interaction according to claim 1, wherein the information processing module obtains package size information according to package image information, extracts package size information according to edge pixels, the package size information includes a maximum length of a package, a maximum width of the package and a maximum height of the package, calculates an occupancy ratio of the package in the intelligent locker according to the package size information, and a calculation formula of the occupancy ratio is:
。
5. The integrated service management platform for digital human interaction according to claim 1, wherein the second user layer comprises a second login module, a second package query module, a package pick-up module and a pick-up recording module; the second login module is used for the user to carry out identity verification and login; the second package inquiring module is used for sending voice instructions to the user and inquiring the storage position and the access state of the package; the package taking module is used for displaying an intelligent express cabinet where a user inquires a target package; and the pickup recording module is used for recording the pickup history of the user.
CN202410420244.9A 2024-04-09 2024-04-09 Comprehensive service management platform for digital human interaction Active CN118014323B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410420244.9A CN118014323B (en) 2024-04-09 2024-04-09 Comprehensive service management platform for digital human interaction

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410420244.9A CN118014323B (en) 2024-04-09 2024-04-09 Comprehensive service management platform for digital human interaction

Publications (2)

Publication Number Publication Date
CN118014323A CN118014323A (en) 2024-05-10
CN118014323B true CN118014323B (en) 2024-06-04

Family

ID=90959640

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410420244.9A Active CN118014323B (en) 2024-04-09 2024-04-09 Comprehensive service management platform for digital human interaction

Country Status (1)

Country Link
CN (1) CN118014323B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015109689A1 (en) * 2014-01-22 2015-07-30 杭州诺亚方舟网络科技有限公司 Intelligent express terminal and processing method therefor
CN110084974A (en) * 2019-05-13 2019-08-02 苏州平步网络科技有限公司 A kind of information processing method and device of the deposit of Intelligent logistics package
CN110570600A (en) * 2019-07-26 2019-12-13 华中科技大学 Express sending and taking method and system based on certificate card and biological characteristic information
WO2022022400A1 (en) * 2020-07-28 2022-02-03 徐宁 Smart method and intelligent service robot system for sending and receiving packages

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015109689A1 (en) * 2014-01-22 2015-07-30 杭州诺亚方舟网络科技有限公司 Intelligent express terminal and processing method therefor
CN110084974A (en) * 2019-05-13 2019-08-02 苏州平步网络科技有限公司 A kind of information processing method and device of the deposit of Intelligent logistics package
CN110570600A (en) * 2019-07-26 2019-12-13 华中科技大学 Express sending and taking method and system based on certificate card and biological characteristic information
WO2022022400A1 (en) * 2020-07-28 2022-02-03 徐宁 Smart method and intelligent service robot system for sending and receiving packages

Also Published As

Publication number Publication date
CN118014323A (en) 2024-05-10

Similar Documents

Publication Publication Date Title
WO2020143325A1 (en) Electronic document generation method and device
CN108550002B (en) Intelligent bank precious metal inventory system and method
CN108197570A (en) A kind of demographic method, device, electronic equipment and storage medium
CN105225281B (en) A kind of vehicle checking method
CN118014323B (en) Comprehensive service management platform for digital human interaction
CN109753917A (en) Face quality optimization method, system, computer readable storage medium and equipment
CN108629230A (en) A kind of demographic method and device and elevator scheduling method and system
CN111160107B (en) Dynamic region detection method based on feature matching
CN110930583A (en) Intelligent storage method for self-service express cabinet
WO2024061101A1 (en) Unconventional express item recognition method and apparatus, computer device, and storage medium
CN113516006A (en) Efficient information processing method and system for intelligent robot
CN112788280A (en) Intelligent conference media management cloud platform based on cloud computing and voice feature analysis
CN112132237A (en) Pure pixel spectrum library establishing method and device
CN112686340B (en) Dense small target detection method based on deep neural network
CN108875538A (en) Attribute detection method, device and system and storage medium
CN116932492A (en) Storage optimization method for layout file identification data
CN107578022B (en) Shop passenger flow management system and method based on image recognition and intelligent seat
CN112788351A (en) Target live broadcast room identification method, device, equipment and storage medium
CN109215001A (en) High temperature difference adaptive platform histogram equalization implementation method based on FPGA
CN107347065A (en) A kind of data push method and device, a kind of terminal and storage medium
CN107908555A (en) A kind of method for detecting abnormality and its terminal of SQL scripts
CN118505445B (en) Intelligent canteen operation management method and system based on behavior analysis
CN114037453B (en) Payment processing system based on minimum credible threshold under multidimension degree
US11113805B2 (en) Automatic attaching 3D tempered glass screen protector attaching machine
CN113099220B (en) Video conference video image green screen detection method, system and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant