CN113947363A

CN113947363A - E-commerce parcel quality regulation and control method and system based on block chain

Info

Publication number: CN113947363A
Application number: CN202111279213.9A
Authority: CN
Inventors: 邱金洲
Original assignee: Wuhan Hongbo Paper Packaging Co ltd
Current assignee: Wuhan Hongbo Paper Packaging Co ltd
Priority date: 2021-10-31
Filing date: 2021-10-31
Publication date: 2022-01-18

Abstract

The application relates to an e-commerce parcel quality regulation and control method and system based on a block chain, which comprises the steps of acquiring a current actual parcel image of a current e-commerce parcel to be measured, which is acquired at a preset parcel quality regulation and control point; storing the current actual package image in a block chain based on Hash chain, and acquiring image data at the feature points of each preset feature point; carrying out image comparison on the image data at each characteristic point and the corresponding original characteristic point image, and respectively generating image comparison breakage weighing values; and judging whether the comparison breakage weighing value reaches a preset acceptable breakage interval or not according to the comparison breakage weighing value, and if the comparison breakage weighing value does not reach the preset acceptable breakage interval, generating package quality strengthening prompt. The invention improves the quality control efficiency and accuracy in the E-commerce parcel transportation process, and simultaneously meets the logistics transportation requirements of shoppers.

Description

E-commerce parcel quality regulation and control method and system based on block chain

Technical Field

The application relates to the technical field of e-commerce shopping, in particular to a block chain-based e-commerce package quality regulation and control method and system.

Background

The blockchain relates to many scientific and technical problems such as mathematics, cryptography, internet, computer programming and the like from the aspect of science and technology. From the application perspective, the blockchain is simply a distributed shared account book and database, and has the characteristics of decentralization, no tampering, trace remaining in the whole process, traceability, collective maintenance, public transparency and the like. The characteristics ensure the honesty and the transparency of the block chain and lay a foundation for creating trust for the block chain.

With the development of e-commerce technology, a technology gradually applied to a block chain is disclosed, for example, in an invention patent with the application number of CN202110358839.2, a method and a system for tracing logistics information based on a block chain are disclosed, which automatically record information in the processes of circulation, dispatching and receiving of goods into a block chain platform for storage; the block chain platform is an alliance chain and comprises a plurality of block chain channels, each block chain channel is internally stored with an independent block chain account book which is established and maintained by a plurality of logistics participants, account book information of different block chain channels are mutually isolated to realize coarse-grained privacy protection, and an encryption algorithm and an authority management strategy are adopted in the same block chain channel to realize fine-grained privacy protection; and the logistics participants selectively add at least one block chain channel according to the business requirements to realize automatic information recording and ensure the isolation of private information.

Obviously, although there are many technologies for applying the block chain to the e-commerce at present on the market and certain technical effects are achieved, such as the above scheme, the information chaining and query are achieved, so as to achieve the protection of the private information, the quality control of the e-commerce package in the transportation process is still not strict, and the requirements of shoppers cannot be met.

Disclosure of Invention

Therefore, in order to solve the technical problems, a block chain-based e-commerce parcel quality control method and system capable of improving quality control efficiency in the e-commerce parcel transportation process and meeting the logistics transportation requirements of shoppers are provided.

The technical scheme of the invention is as follows:

a block chain-based e-commerce parcel quality regulation and control method comprises the following steps:

acquiring a current actual parcel image of a current e-commerce parcel to be detected, which is acquired at a preset parcel quality control point, wherein the preset parcel quality control point is arranged in an e-commerce parcel quality control transportation line in advance, a plurality of preset parcel quality control points are arranged on the e-commerce parcel quality control transportation line, each preset parcel quality control point is provided with an image acquisition device, and the image acquisition devices are used for acquiring the image of the e-commerce parcel; storing the current actual package image in a block chain based on Hash chain linking, performing feature point identification on the current actual package image, and acquiring feature point image data of each preset feature point after the feature point identification, wherein the preset feature points are preset on the current e-commerce package to be detected, and each preset feature point is respectively and correspondingly stored with an original feature point image in advance; performing image comparison on the image data at each characteristic point and the corresponding original characteristic point image, and respectively generating an image comparison breakage metric value, wherein one preset characteristic point corresponds to one original characteristic point image and one characteristic point image, and one original characteristic point image and one characteristic point image are compared to generate one comparison breakage metric value; according to the damaged weighing value of contrast is judged whether the damaged weighing value of contrast reaches the acceptable damaged interval of presetting, if judge the damaged weighing value of contrast does not reach the acceptable damaged interval of presetting, then generate the parcel quality and consolidate and remind, and according to the parcel quality is consolidated and is reminded send to the parcel regulation and control personnel of presetting parcel quality regulation and control punishment department.

Specifically, a current actual parcel image of a current e-commerce parcel to be tested, which is acquired at a preset parcel quality regulation and control point, is acquired, wherein the preset parcel quality regulation and control point is arranged in an e-commerce parcel quality regulation and control transportation line in advance, a plurality of preset parcel quality regulation and control points are arranged on the e-commerce parcel quality regulation and control transportation line, and each preset parcel quality regulation and control point is provided with an image acquisition device which is used for acquiring the image of the e-commerce parcel; the method specifically comprises the following steps:

acquiring image acquisition environment data of the preset package quality control point, wherein the image acquisition environment data comprises current illumination data and current acquisition interference data, and the current acquisition interference data is a set of data of an interferent; judging whether the current illumination data meet a preset standard illumination requirement or not based on the current illumination data, and if the current illumination data do not meet the standard illumination requirement, generating a light increasing adjusting instruction, wherein the light increasing adjusting instruction is used for sending to the image acquisition device and enabling the image acquisition device to automatically start a light auxiliary function; if the current illumination data is judged to meet the standard illumination requirement, judging whether the current acquisition interference data is in a preset acquisition area of a preset package quality regulation and control point; if the current acquired interference data is judged to be in a preset acquisition area of a preset package quality regulation and control point, generating an interference removal information prompt; if the current acquisition interference data is judged not to be in a preset acquisition area of a preset package quality control point, generating an image acquisition instruction; controlling the image acquisition device to acquire images of the current e-commerce packages to be detected in a preset acquisition area of the preset package quality control point according to the image acquisition instruction, and acquiring an initial acquired image after acquisition; and performing saturation enhancement on the initially acquired image, and acquiring an enhanced image, wherein the enhanced image is the current actual parcel image.

Specifically, the current actual package image is stored in a block chain on the basis of Hash chaining, feature point identification is carried out on the current actual package image, and feature point image data of each preset feature point is obtained after the feature point identification, wherein the preset feature points are preset on the current e-commerce package to be detected, and each preset feature point is respectively and correspondingly stored with an original feature point image in advance; the method specifically comprises the following steps:

storing the current actual package image in a block chain based on Hash chain, identifying the characteristic points of the current actual package image, and obtaining initial actual characteristic point data of the current actual package image, wherein the initial actual characteristic point data comprises the number of the characteristic points, the outline of a characteristic area and the relative position of the characteristic area; judging whether the number of the feature points meets the number of preset standard feature points; if the number of the feature points is judged to meet the preset standard feature point number, continuously judging whether the profile of each feature area is matched with the preset standard feature profile; if the profile of each feature region is judged to be matched with a preset standard feature profile, judging whether the relative position of the feature region is matched with a preset standard relative position; and if the relative position of the characteristic region is judged to be matched with the preset standard relative position, defining the initial actual characteristic point data as the image data at the characteristic point.

Specifically speaking, according to the damaged weighing value of contrast is judged whether the damaged weighing value of contrast reaches the acceptable damaged interval of presetting, if judge the damaged weighing value of contrast does not reach the acceptable damaged interval of presetting, then generate the parcel quality and consolidate and remind, and according to the parcel quality is consolidated and is reminded send to the parcel regulation and control personnel of presetting parcel quality regulation and control punishment department, later still include:

sequentially acquiring comparison breakage weighing values at a plurality of preset package quality regulation points on the e-commerce package quality regulation and control transportation line, and generating package breakage repair data at the preset package quality regulation points based on the comparison breakage weighing values and the acceptable breakage intervals, wherein the package breakage repair data comprises the need of reinforcement repair or the need of reinforcement repair; sorting the package damage repair data according to the arrangement sequence of the preset package quality control points, and generating a sorting sequence table; sequentially extracting the quantity to be reinforced and repaired in the package damage repair data according to the sorting sequence table, and recording the quantity as the real-time reinforcement quantity; and judging whether the real-time reinforcement quantity exceeds the preset standard total reinforcement times or not in real time, if so, generating quality transportation reforming information and sending the quality transportation reforming information to quality monitoring personnel.

after the current e-commerce parcel to be detected is sent to the corresponding shopper, obtaining delivery commodity basic data of e-commerce shopping commodities in the current e-commerce parcel to be detected, which are shot by the shopper; acquiring a matched object matched with the E-commerce shopping commodity according to the delivery commodity basic data; acquiring use state parameter data when the E-commerce shopping commodity is matched with the matched using object for use; judging whether the use state parameter data meet the preset qualified use requirement; and if the service state parameter data does not meet the preset qualified service requirement, generating an after-sale application proposal, and displaying the after-sale application proposal to a shopper.

Specifically, an e-commerce parcel quality regulation and control system based on a block chain comprises:

the quality acquisition module is used for acquiring a current actual parcel image of a current e-commerce parcel to be detected, which is acquired at a preset parcel quality regulation and control point, wherein the preset parcel quality regulation and control point is arranged in an e-commerce parcel quality regulation and control transportation line in advance, a plurality of preset parcel quality regulation and control points are arranged on the e-commerce parcel quality regulation and control transportation line, each preset parcel quality regulation and control point is provided with an image acquisition device, and the image acquisition devices are used for acquiring the image of the e-commerce parcel;

the characteristic identification module is used for storing the current actual package image in a block chain on the basis of Hash chaining, identifying characteristic points of the current actual package image, and acquiring characteristic point image data of each preset characteristic point after the characteristic points are identified, wherein the preset characteristic points are preset on the current e-commerce package to be detected, and each preset characteristic point is respectively and correspondingly stored with an original characteristic point image in advance;

the comparison breakage module is used for carrying out image comparison on the image data at each characteristic point and the corresponding original characteristic point image and respectively generating an image comparison breakage weighing value, wherein one preset characteristic point corresponds to one original characteristic point image and one characteristic point image, and one original characteristic point image and one characteristic point image are compared to generate one comparison breakage weighing value;

and the reinforcing reminding module is used for judging whether the contrast damage weighing value reaches a preset acceptable damage interval or not according to the contrast damage weighing value, generating package quality reinforcing reminding if judging that the contrast damage weighing value does not reach the preset acceptable damage interval, and sending the package quality reinforcing reminding to a package regulation and control personnel at the preset package quality regulation and control point.

Specifically, the quality acquisition module is further configured to:

acquiring image acquisition environment data of the preset package quality control point, wherein the image acquisition environment data comprises current illumination data and current acquisition interference data, and the current acquisition interference data is a set of data of an interferent; judging whether the current illumination data meet a preset standard illumination requirement or not based on the current illumination data, and if the current illumination data do not meet the standard illumination requirement, generating a light increasing adjusting instruction, wherein the light increasing adjusting instruction is used for sending to the image acquisition device and enabling the image acquisition device to automatically start a light auxiliary function; if the current illumination data is judged to meet the standard illumination requirement, judging whether the current acquisition interference data is in a preset acquisition area of a preset package quality regulation and control point; if the current acquired interference data is judged to be in a preset acquisition area of a preset package quality regulation and control point, generating an interference removal information prompt; if the current acquisition interference data is judged not to be in a preset acquisition area of a preset package quality control point, generating an image acquisition instruction; controlling the image acquisition device to acquire images of the current e-commerce packages to be detected in a preset acquisition area of the preset package quality control point according to the image acquisition instruction, and acquiring an initial acquired image after acquisition; performing saturation enhancement on the initially acquired image, and acquiring an enhanced image, wherein the enhanced image is the current actual parcel image;

specifically, the feature identification module is further configured to:

storing the current actual package image in a block chain based on Hash chain, identifying the characteristic points of the current actual package image, and obtaining initial actual characteristic point data of the current actual package image, wherein the initial actual characteristic point data comprises the number of the characteristic points, the outline of a characteristic area and the relative position of the characteristic area; judging whether the number of the feature points meets the number of preset standard feature points; if the number of the feature points is judged to meet the preset standard feature point number, continuously judging whether the profile of each feature area is matched with the preset standard feature profile; if the profile of each feature region is judged to be matched with a preset standard feature profile, judging whether the relative position of the feature region is matched with a preset standard relative position; if the relative position of the characteristic region is judged to be matched with the preset standard relative position, defining the initial actual characteristic point data as the image data at the characteristic point;

the system further comprises a post-processing module for:

sequentially acquiring comparison breakage weighing values at a plurality of preset package quality regulation points on the e-commerce package quality regulation and control transportation line, and generating package breakage repair data at the preset package quality regulation points based on the comparison breakage weighing values and the acceptable breakage intervals, wherein the package breakage repair data comprises the need of reinforcement repair or the need of reinforcement repair; sorting the package damage repair data according to the arrangement sequence of the preset package quality control points, and generating a sorting sequence table; sequentially extracting the quantity to be reinforced and repaired in the package damage repair data according to the sorting sequence table, and recording the quantity as the real-time reinforcement quantity; judging whether the real-time reinforcement quantity exceeds a preset standard total reinforcement frequency or not in real time, if so, generating quality transportation reforming information and sending the quality transportation reforming information to a quality monitoring worker; after the current e-commerce parcel to be detected is sent to the corresponding shopper, obtaining delivery commodity basic data of e-commerce shopping commodities in the current e-commerce parcel to be detected, which are shot by the shopper; acquiring a matched object matched with the E-commerce shopping commodity according to the delivery commodity basic data; acquiring use state parameter data when the E-commerce shopping commodity is matched with the matched using object for use; judging whether the use state parameter data meet the preset qualified use requirement; and if the service state parameter data does not meet the preset qualified service requirement, generating an after-sale application proposal, and displaying the after-sale application proposal to a shopper.

Specifically, the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the block chain-based e-commerce parcel quality regulation and control method when executing the computer program.

Specifically, the computer readable storage medium stores thereon a computer program which, when executed by a processor, implements the steps of the block chain-based e-commerce parcel quality control method described above.

The invention has the following technical effects:

the E-commerce parcel quality control method and system based on the block chain sequentially acquire the current actual parcel image of the current E-commerce parcel to be detected, which is acquired at a preset parcel quality control point, wherein the preset parcel quality control point is arranged in an E-commerce parcel quality control transportation line in advance, a plurality of preset parcel quality control points are arranged on the E-commerce parcel quality control transportation line, each preset parcel quality control point is provided with an image acquisition device, and the image acquisition devices are used for acquiring the image of the E-commerce parcel; storing the current actual package image in a block chain based on Hash chain linking, performing feature point identification on the current actual package image, and acquiring feature point image data of each preset feature point after the feature point identification, wherein the preset feature points are preset on the current e-commerce package to be detected, and each preset feature point is respectively and correspondingly stored with an original feature point image in advance; performing image comparison on the image data at each characteristic point and the corresponding original characteristic point image, and respectively generating an image comparison breakage metric value, wherein one preset characteristic point corresponds to one original characteristic point image and one characteristic point image, and one original characteristic point image and one characteristic point image are compared to generate one comparison breakage metric value; judging whether the comparison damage weighing value reaches a preset acceptable damage interval or not according to the comparison damage weighing value, if the comparison damage weighing value does not reach the preset acceptable damage interval, generating a package quality strengthening prompt, and sending the package quality strengthening prompt to a package regulation and control person at a preset package quality regulation and control point according to the package quality strengthening prompt, namely, in order to realize the monitoring of the whole transportation process of the e-commerce package, an e-commerce package quality regulation and control transportation line is preset, a plurality of preset package quality regulation and control points are arranged on the e-commerce package quality regulation and control transportation line, and each preset package quality regulation and control point is provided with an image acquisition device for acquiring an image of the e-commerce package, so that when the current e-commerce package to be detected is transported to each corresponding preset package quality regulation and control point through the plurality of preset package quality regulation and control points, the method can acquire the current actual parcel image of the current e-commerce parcel to be detected acquired at each preset parcel quality control point, so as to realize the judgment of whether the parcel is damaged or not based on the image, then, in order to realize the privacy and the non-tamper-resistance of data, further, in order to realize the efficient and reliable preservation of the data, further, in order to store the current actual parcel image in a block chain based on a Hash chain, thereby realizing the preservation of the data generated in the transportation process of the e-commerce parcel based on the block chain, and in order to judge the integrity of the current e-commerce parcel to be detected at the preset parcel quality control point, thereby performing feature point identification on the current actual parcel image, acquiring the image data of the feature point of each preset feature point after the feature point identification, and in order to improve the accuracy and the reliability of the judgment, by presetting the preset feature point on the current e-commerce parcel to be detected, the method is characterized in that each preset characteristic point is respectively and correspondingly stored with an original characteristic point image in advance, so that whether the current to-be-detected e-commerce package is damaged or not in the transportation process can be clearly known through comparison between the original characteristic point image and the image data at the characteristic points, namely, image comparison is carried out between the image data at the characteristic points and the corresponding original characteristic point images, and image comparison damage weighing values are respectively generated, and it is understood that one-to-one correspondence of data is realized through setting a preset characteristic point corresponding to one original characteristic point image and one image at the characteristic points, and one original characteristic point image and one image at the characteristic points are compared to generate one comparison damage weighing value, and meanwhile, the comparison damage weighing values can be specifically represented by specific values through setting the comparison damage weighing values, further, the quantitative comparison in the comparison process is improved, the data comparison efficiency is further improved, then, in order to further accurately control the quality of the e-commerce shopping package, an acceptable damaged interval is preset, the acceptable damaged interval can also be specifically represented by a numerical value, for example, the numerical value range can be used for representing, when the e-commerce shopping package is in the acceptable damaged interval, the requirement of the e-commerce shopping package is met, if the acceptable damaged interval is not met, the comparison damaged weighing value is judged not to reach the preset acceptable damaged interval, a package quality reinforcement prompt is generated, wherein the package quality reinforcement prompt specifically can be a prompt message, for example, a prompt message of 'package quality problem appears, please refine query', and the message is mainly used for prompting a worker to repair or reinforce the e-commerce package which is unqualified or seriously damaged in the transportation process, the specific refinement mode is that the parcel quality reinforcement prompt is sent to a parcel regulation and control personnel at the preset parcel quality regulation and control point, so that the parcel regulation and control personnel further operate, therefore, obviously, the method and the system realize the improvement of quality control efficiency and accuracy in the e-commerce parcel transportation process, and simultaneously meet the logistics transportation requirements of shoppers.

Drawings

FIG. 1 is a schematic flow chart of a block chain-based E-commerce parcel quality control method in one embodiment;

FIG. 2 is a block diagram of an E-commerce parcel quality control system based on a blockchain in one embodiment;

FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In one embodiment, as shown in fig. 1, there is provided a block chain-based e-commerce parcel quality control method, including:

step S100: acquiring a current actual parcel image of a current e-commerce parcel to be detected, which is acquired at a preset parcel quality control point, wherein the preset parcel quality control point is arranged in an e-commerce parcel quality control transportation line in advance, a plurality of preset parcel quality control points are arranged on the e-commerce parcel quality control transportation line, each preset parcel quality control point is provided with an image acquisition device, and the image acquisition devices are used for acquiring the image of the e-commerce parcel;

specifically, in order to realize monitoring of the whole transportation process of the e-commerce package, an e-commerce package quality regulation and control transportation line is preset, a plurality of preset package quality regulation and control points are arranged on the e-commerce package quality regulation and control transportation line, and each preset package quality regulation and control point is provided with an image acquisition device for acquiring an image of the e-commerce package, so that when the current e-commerce package to be detected is transported to each corresponding preset package quality regulation and control point, the current actual package image of the current e-commerce package to be detected acquired at each preset package quality regulation and control point can be acquired through the plurality of preset package quality regulation and control points, and therefore whether the package is damaged or not is judged based on the image.

Step S200: storing the current actual package image in a block chain based on Hash chain linking, performing feature point identification on the current actual package image, and acquiring feature point image data of each preset feature point after the feature point identification, wherein the preset feature points are preset on the current e-commerce package to be detected, and each preset feature point is respectively and correspondingly stored with an original feature point image in advance;

specifically, in order to achieve privacy and non-tamper property of data, and further to achieve efficient and reliable storage of data, the current actual package image is stored in a block chain based on a hash chain, so as to achieve storage of data generated in a transportation process of an e-commerce package based on the block chain, and in order to judge integrity of a current e-commerce package to be detected at a preset package quality control point, feature point identification is performed on the current actual package image, image data at feature points of preset feature points is acquired after the feature point identification, and in order to improve accuracy of judgment and reliability of comparison, by presetting the preset feature points on the current e-commerce package to be detected in advance, each preset feature point is respectively and correspondingly stored with an original feature point image in advance, so that through comparison between the original feature point image and the image data at the feature points, whether the current parcel to be tested of the e-commerce is damaged or not in the transportation process can be clearly known.

Step S300: performing image comparison on the image data at each characteristic point and the corresponding original characteristic point image, and respectively generating an image comparison breakage metric value, wherein one preset characteristic point corresponds to one original characteristic point image and one characteristic point image, and one original characteristic point image and one characteristic point image are compared to generate one comparison breakage metric value;

specifically, image comparison is carried out on image data at each feature point and corresponding original feature point images, and image comparison breakage measurement values are respectively generated.

Step S400: according to the damaged weighing value of contrast is judged whether the damaged weighing value of contrast reaches the acceptable damaged interval of presetting, if judge the damaged weighing value of contrast does not reach the acceptable damaged interval of presetting, then generate the parcel quality and consolidate and remind, and according to the parcel quality is consolidated and is reminded send to the parcel regulation and control personnel of presetting parcel quality regulation and control punishment department.

Specifically, in order to further accurately control the quality of the e-commerce shopping package, an acceptable damage interval is preset, the acceptable damage interval can also be specifically represented by a numerical value, for example, the acceptable damage interval can be represented by a numerical value range, when the e-commerce shopping package is in the acceptable damage interval, the requirement of the e-commerce shopping package is met, if the acceptable damage interval is not met, the comparison damage weighing value is judged not to be in the preset acceptable damage interval, a package quality strengthening prompt is generated, wherein the package quality strengthening prompt can be specifically a prompt message, for example, a prompt message of 'package quality problem occurrence and please refine query', and the message is mainly used for prompting a worker to repair or strengthen the e-commerce package which is unqualified or seriously damaged in the transportation process in real time, the specific refinement mode is that the parcel quality reinforcement prompt is sent to a parcel regulation and control personnel at the preset parcel quality regulation and control point, so that the parcel regulation and control personnel further operate, therefore, obviously, the method and the system realize the improvement of quality control efficiency and accuracy in the e-commerce parcel transportation process, and simultaneously meet the logistics transportation requirements of shoppers.

In one embodiment, step S100: acquiring a current actual parcel image of a current e-commerce parcel to be detected, which is acquired at a preset parcel quality control point, wherein the preset parcel quality control point is arranged in an e-commerce parcel quality control transportation line in advance, a plurality of preset parcel quality control points are arranged on the e-commerce parcel quality control transportation line, each preset parcel quality control point is provided with an image acquisition device, and the image acquisition devices are used for acquiring the image of the e-commerce parcel; the method specifically comprises the following steps:

step S110: acquiring image acquisition environment data of the preset package quality control point, wherein the image acquisition environment data comprises current illumination data and current acquisition interference data, and the current acquisition interference data is a set of data of an interferent;

further, the current illumination data is acquired by a preset illumination acquisition sensor, the current acquisition interference data is a set of data of an interference object, a specific area is photographed by an image acquisition device, under the condition of normal interference, no object exists in the area, and if an object exists, the interference exists, namely the interference object exists.

Step S120: judging whether the current illumination data meet a preset standard illumination requirement or not based on the current illumination data, and if the current illumination data do not meet the standard illumination requirement, generating a light increasing adjusting instruction, wherein the light increasing adjusting instruction is used for sending to the image acquisition device and enabling the image acquisition device to automatically start a light auxiliary function;

specifically, the standard illumination requirement is preset by self, if the illumination intensity is set to meet a specific numerical value, if the current illumination data is judged not to meet the standard illumination requirement, the illumination is not enough, and therefore a dimming regulation instruction is generated.

Furthermore, the image acquisition device is provided with a light intensifying device such as an LED lamp device in advance, and when the light auxiliary function is started, the LED lamp is controlled to be turned on.

Step S130: if the current illumination data is judged to meet the standard illumination requirement, judging whether the current acquisition interference data is in a preset acquisition area of a preset package quality regulation and control point;

specifically, the preset collection area is preset, and each preset package quality control point is provided with the preset collection area.

Step S140: if the current acquired interference data is judged to be in a preset acquisition area of a preset package quality regulation and control point, generating an interference removal information prompt;

when the current collected interference data is judged to be in a preset collection area of a preset package quality control point, the situation that an interfering object needs to be removed is indicated, so that interference removal information prompt is generated, and the generated interference removal information prompt is used for sending prompt information to workers.

Step S150: if the current acquisition interference data is judged not to be in a preset acquisition area of a preset package quality control point, generating an image acquisition instruction;

at this time, when it is judged that the currently acquired interference data is not in the preset acquisition region of the preset package quality control point, it is indicated that an image can be acquired.

Step S160: controlling the image acquisition device to acquire images of the current e-commerce packages to be detected in a preset acquisition area of the preset package quality control point according to the image acquisition instruction, and acquiring an initial acquired image after acquisition;

step S170: and performing saturation enhancement on the initially acquired image, and acquiring an enhanced image, wherein the enhanced image is the current actual parcel image.

Further, the saturation refers to the vividness of the color, also called purity, and the enhancement processing is continued for following the image data, so that the stability and reliability of the result generation are improved.

Specifically, in order to ensure that the obtained current actual parcel image is usable and to perform quality control in the subsequent parcel transportation process, environment data is acquired by obtaining an image of a preset parcel quality control point, whether the current illumination data meets a preset standard illumination requirement is judged based on the current illumination data, if the current illumination data does not meet the standard illumination requirement is judged, a light increasing regulation instruction is generated and sent to the image acquisition device, the image acquisition device automatically starts a light auxiliary function, and if the current illumination data meets the standard illumination requirement is judged, whether the current acquisition interference data is in a preset acquisition area of the preset parcel quality control point is judged; if the current acquired interference data is judged to be in a preset acquisition area of a preset package quality regulation and control point, generating an interference removal information prompt; if the current acquisition interference data is judged not to be in a preset acquisition area of a preset package quality control point, generating an image acquisition instruction;

further, controlling the image acquisition device to acquire an image of the current e-commerce parcel to be detected in a preset acquisition area of the preset parcel quality control point according to the image acquisition instruction, and acquiring an initial acquired image after acquisition; and finally, performing saturation enhancement on the initially acquired image, and acquiring an enhanced image, wherein the enhanced image is the current actual package image, so that the current actual package image is an image acquired only after various condition requirements are met, the accuracy and reliability of image acquisition are further improved, and the efficiency of subsequent data processing is greatly improved.

In one embodiment, step S200: storing the current actual package image in a block chain based on Hash chain linking, performing feature point identification on the current actual package image, and acquiring feature point image data of each preset feature point after the feature point identification, wherein the preset feature points are preset on the current e-commerce package to be detected, and each preset feature point is respectively and correspondingly stored with an original feature point image in advance; the method specifically comprises the following steps:

step S210: storing the current actual package image in a block chain based on Hash chain, identifying the characteristic points of the current actual package image, and obtaining initial actual characteristic point data of the current actual package image, wherein the initial actual characteristic point data comprises the number of the characteristic points, the outline of a characteristic area and the relative position of the characteristic area;

step S220: judging whether the number of the feature points meets the number of preset standard feature points;

specifically, when the feature points are preset, the number of the feature points of each package is set to be the same, so that the subsequent comparison with the number of the standard feature points is facilitated.

Step S230: if the number of the feature points is judged to meet the preset standard feature point number, continuously judging whether the profile of each feature area is matched with the preset standard feature profile;

specifically, the feature region profile is a specific shape of the set feature point.

Step S240: if the profile of each feature region is judged to be matched with a preset standard feature profile, judging whether the relative position of the feature region is matched with a preset standard relative position;

further, the relative position of the feature region is the relative distance between the adjacent feature points, and further precise refined comparison is realized through the relative position of the feature region.

Step S250: and if the relative position of the characteristic region is judged to be matched with the preset standard relative position, defining the initial actual characteristic point data as the image data at the characteristic point.

Specifically, in order to accurately obtain the image data at the feature points, one-to-one comparison is required, that is, initial actual feature point data of the current actual package image is obtained, where the initial actual feature point data includes the number of feature points, the profile of a feature area, and the relative position of the feature area, and then whether the number of the feature points meets a preset standard number of feature points is judged; then, if the number of the feature points is judged to meet the preset standard feature point number, continuously judging whether the profile of each feature area is matched with the preset standard feature profile; further, if the profile of each feature region is judged to be matched with a preset standard feature profile, whether the relative position of the feature region is matched with a preset standard relative position is judged; and finally, if the relative position of the characteristic region is judged to be matched with the preset standard relative position, the initial actual characteristic point data meets the basic requirement, and therefore the initial actual characteristic point data can be defined as the image data at the characteristic point.

Further, in the above steps, when the number of the feature points, the profile of the feature area and the relative position of the feature area are compared, once a mismatch condition occurs, prompt information is generated immediately, and a worker is prompted to correct the mismatch condition through the prompt information, so that the stability and reliability of subsequent quality control are ensured.

In one embodiment, step S400: according to damaged weighing scale value of contrast is judged whether damaged weighing scale value of contrast reaches predetermined acceptable damaged interval, if judge damaged weighing scale value of contrast does not reach predetermined acceptable damaged interval, then generate parcel quality and consolidate and remind, and according to parcel quality is consolidated and is reminded send to the parcel regulation and control personnel of predetermined parcel quality regulation and control point department, later still include:

step S521: sequentially acquiring comparison breakage weighing values at a plurality of preset package quality regulation points on the e-commerce package quality regulation and control transportation line, and generating package breakage repair data at the preset package quality regulation points based on the comparison breakage weighing values and the acceptable breakage intervals, wherein the package breakage repair data comprises the need of reinforcement repair or the need of reinforcement repair;

step S522: sorting the package damage repair data according to the arrangement sequence of the preset package quality control points, and generating a sorting sequence table;

step S523: sequentially extracting the quantity to be reinforced and repaired in the package damage repair data according to the sorting sequence table, and recording the quantity as the real-time reinforcement quantity;

step S524: and judging whether the real-time reinforcement quantity exceeds the preset standard total reinforcement times or not in real time, if so, generating quality transportation reforming information and sending the quality transportation reforming information to quality monitoring personnel.

Specifically, in order to realize real-time monitoring in the transportation process, the comparison damage measure values at a plurality of preset package quality control points on the e-commerce package quality control transportation line are sequentially obtained, package damage repair data at each preset package quality control point is generated based on each comparison damage measure value and the acceptable damage interval, wherein the package damage repair data includes the data needing reinforcement repair or not needing reinforcement repair, then, each package damage repair data is sequenced according to the arrangement sequence of the preset package quality control points, a sequencing sequence table is generated, the generation of the sequencing sequence table realizes the ordered comparison of the data, the comparison is performed in sequence, omission in the data comparison is prevented, the accuracy of data generation is improved, and then, the quantity needing reinforcement repair in each package damage repair data is sequentially extracted according to the sequencing sequence table, recording the real-time reinforcement quantity; and finally, judging whether the real-time reinforcement number exceeds the total reinforcement times of a preset standard or not in real time, if so, generating quality transportation reforming information and sending the quality transportation reforming information to a quality monitoring worker, wherein when the total reinforcement times of the standard is 3 times and judging that the real-time reinforcement number is 4 times, the excessive reinforcement treatment is shown in one logistics transportation process, the problem of the logistics transportation process at the moment can be judged, the adjustment is needed, the quality transportation reforming information is generated and sent to the quality monitoring worker, so that the transportation process is adjusted, and the subsequent efficient and reliable logistics quality control and transportation are realized.

step S510: after the current e-commerce parcel to be detected is sent to the corresponding shopper, obtaining delivery commodity basic data of e-commerce shopping commodities in the current e-commerce parcel to be detected, which are shot by the shopper;

step S520: acquiring a matched object matched with the E-commerce shopping commodity according to the delivery commodity basic data;

step S530: acquiring use state parameter data when the E-commerce shopping commodity is matched with the matched using object for use;

step S540: judging whether the use state parameter data meet the preset qualified use requirement;

step S550: and if the service state parameter data does not meet the preset qualified service requirement, generating an after-sale application proposal, and displaying the after-sale application proposal to a shopper.

Specifically, in order to meet the use requirements of users and improve the accuracy of logistics configuration, delivery commodity basic data of the e-commerce shopping commodities in the current e-commerce package to be tested, which are shot by a shopper, are obtained; acquiring a matched object matched with the E-commerce shopping commodity according to the delivery commodity basic data; acquiring use state parameter data when the E-commerce shopping commodity is matched with the matched using object for use; judging whether the use state parameter data meet the preset qualified use requirement; finally, if the service state parameter data is judged not to reach the preset qualified service requirement, an after-sale application suggestion is generated and displayed to a shopper, wherein the delivery commodity basic data comprises a commodity name and a commodity service parameter, matched service articles matched with the commodity name for use can be obtained according to the commodity name, if the commodity name is called an electric vehicle, the matched service articles are a household charging socket matched with the commodity name, then, the service state parameter data when the electric shopping commodity is matched with the matched service articles for use is obtained, the service state reference data is the state of whether a safety accident occurs when the electric vehicle and the socket are matched for use, if the safety accident does not occur, the qualified service requirement is met, if the service state parameter data does not exist, the after-sale application suggestion is generated, and the after-sale application suggestion includes but is not limited to suggest returning goods, Suggesting a change of goods and suggesting an after-market repair service.

In one embodiment, as shown in fig. 2, a block chain-based e-commerce parcel quality control system comprises:

In one embodiment, the quality acquisition module is further configured to:

in one embodiment, the feature identification module is further configured to:

the system further comprises a post-processing module for:

In one embodiment, as shown in fig. 3, a computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the block chain-based e-commerce parcel quality control method when executing the computer program.

A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the block chain-based e-commerce parcel quality control method described above.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A block chain-based e-commerce parcel quality regulation and control method is characterized by comprising the following steps:

2. The block chain-based e-commerce parcel quality control method according to claim 1, wherein a current actual parcel image of a current e-commerce parcel to be tested, which is collected at a preset parcel quality control point, is obtained, wherein the preset parcel quality control point is pre-arranged on an e-commerce parcel quality control transportation line, a plurality of preset parcel quality control points are arranged on the e-commerce parcel quality control transportation line, each preset parcel quality control point is provided with an image collection device, and the image collection device is used for collecting the image of the e-commerce parcel; the method specifically comprises the following steps:

3. The block chain-based e-commerce package quality control method according to claim 1, wherein the current actual package image is stored in the block chain based on a hash chain, the current actual package image is subjected to feature point identification, and after the feature point identification, image data at feature points of preset feature points are obtained, wherein the preset feature points are preset on the current e-commerce package to be tested, and an original feature point image is respectively and correspondingly stored in each preset feature point; the method specifically comprises the following steps:

4. The block chain-based e-commerce parcel quality control method of claim 1, wherein the method further comprises the steps of determining whether the comparison damage metric value reaches a preset acceptable damage interval according to the comparison damage metric value, generating a parcel quality reinforcement prompt if the comparison damage metric value does not reach the preset acceptable damage interval, and sending the parcel quality reinforcement prompt to a parcel control personnel at the preset parcel quality control point according to the parcel quality reinforcement prompt, and then:

5. The method for regulating and controlling quality of E-commerce packages based on block chains according to any one of claims 1 to 4, wherein the method comprises the steps of judging whether the comparison breakage weighing value reaches a preset acceptable breakage interval according to the comparison breakage weighing value, generating a package quality strengthening prompt if the comparison breakage weighing value does not reach the preset acceptable breakage interval, sending the package quality strengthening prompt to package regulating and controlling personnel at the preset package quality regulating and controlling point according to the package quality strengthening prompt, and then:

6. An e-commerce parcel quality regulation system based on a blockchain, the system comprising:

7. The blockchain-based e-commerce parcel quality control system of claim 6, wherein the quality acquisition module is further configured to:

8. The blockchain-based e-commerce parcel quality control system of claim 6, wherein the feature identification module is further configured to:

the system further comprises a post-processing module for:

9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.