CN112529921A - Online and offline multi-channel commodity inventory sharing system and method - Google Patents
Online and offline multi-channel commodity inventory sharing system and method Download PDFInfo
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Abstract
The invention discloses an on-line off-line multi-channel commodity inventory sharing system and a method, which relate to the technical field of warehouse logistics, and the system comprises: the system comprises an article storage unit, an information uploading unit, an information updating unit and an information sharing unit; the article storage unit is composed of a plurality of storage units; the storage unit comprises a plurality of receiving units for receiving articles; the information uploading unit is used for acquiring the product information in the article storage unit and sending the product information to the information storage unit; the information storage unit is used for storing product information; the information updating unit is used for monitoring the product information in the article storage unit in real time and updating the changed product information to the information storage unit in real time when the product information is found to be changed; the information sharing unit shares the information in the information storage unit in real time. The method has the advantages of high automation degree, convenience in sharing and high data safety.
Description
Technical Field
The invention relates to the technical field of warehouse logistics, in particular to an online and offline multi-channel commodity inventory sharing system and method.
Background
The inventory goods refer to various goods which are subjected to all production processes and accepted and warehoused by enterprises, meet standard specifications and technical conditions, can be delivered to order units according to conditions specified by contracts, or can be sold externally as goods and purchased or entrusted to process, and accepted and warehoused for sale.
The enterprise should set the subject of "inventory goods" and account for the increase and decrease of inventory goods and their balance. When the commodities are accepted and warehoused, the production cost subject is converted into the stock commodity subject; when selling inventory goods, carrying out corresponding accounting processing according to different selling modes; the inventory goods are received in the construction of projects and the like, and account transfer is carried out according to the cost.
The inventory commodity itemization account is set according to the type, variety and specification of the inventory commodity of the enterprise. If some goods are to be sold, some goods are shown in the exhibition and some goods are sent out, which have not been checked, the detailed account should be set separately for accounting. Inventory item detail ledgers typically employ a quantity amount formula.
The commodity retail enterprise for carrying out the accounting of the selling price amount has the inventory commodity detail account set according to the material object responsible person. The format of the method generally adopts a three-column mode, only the selling price and the amount are recorded, and the amount is not recorded. As the inventory commodities are booked according to the selling price, in order to know the actual value of the inventory commodities at any time and facilitate the purchase and sale price difference of the commodities sold by each real object responsible person at the end of a month, the detailed account of the inventory commodities and the purchase and sale price difference can be set by adopting a method of combining the detailed classified accounts of the inventory commodities and the purchase and sale price difference.
In the prior art, although the inventory management is realized by a computer, the whole process still needs to be operated manually, so that the process of inventory management is very complicated. Meanwhile, because the management is carried out manually, certain management mistakes and omissions are easy to occur.
Disclosure of Invention
In view of this, the present invention provides an online and offline multi-channel inventory sharing system and method, which have the advantages of high automation degree, convenient sharing and high data security.
In order to achieve the purpose, the invention adopts the following technical scheme:
an online, offline multi-channel inventory sharing system for commodities, said system comprising: the system comprises an article storage unit, an information uploading unit, an information updating unit and an information sharing unit; the article storage unit is composed of a plurality of storage units; the storage unit comprises a plurality of receiving units for receiving articles; the information uploading unit is used for acquiring the product information in the article storage unit and sending the product information to the information storage unit; the information storage unit is used for storing product information; the information updating unit is used for monitoring the product information in the article storage unit in real time and updating the changed product information to the information storage unit in real time when the product information is found to be changed; the information sharing unit shares the information in the information storage unit in real time.
Further, the information updating unit comprises an information monitoring unit and a data processing unit; the information monitoring unit includes: an image acquisition device and an illumination device provided in the storage unit; the data processing unit is used for processing the image information acquired by the image acquisition device, judging whether the product information of the article in the storage unit is changed or not, and updating the changed information into the information storage unit in real time if the product information is changed; and if the product information is not changed, the product information is not processed.
Further, the method for the data processing unit to judge whether the image information of the image acquisition device is changed or not executes the following steps:
step 1: intercepting a local image in the image information, acquiring local features of the local image, and acquiring feature vectors of the local features;
step 2: respectively limiting the searched objects for each feature vector of the local image;
and step 3: searching for feature vectors close to the feature vectors of the local image from the search target, and specifying feature vectors close to the feature vectors of the local image;
and 4, step 4: comparing each feature vector with a preset feature vector, and if the comparison results are the same, judging that the article information is not changed; and if the comparison results are different, judging that the article information is changed.
Further, the method for the data processing unit to judge whether the image information of the image acquisition device is changed or not executes the following steps:
step S1: converting the obtained object image into a gray image through brightness calculation, extracting edge contours in the image, and obtaining a known region shape after extraction;
step S2: carrying out ellipse fitting on the edge contour of the known region, detecting a boundary curve by using Hough transform, and obtaining parameters of a long axis, a short axis and a central point of an ellipse;
step S3: carrying out contour area threshold processing, calculating the contour area by counting the number of images containing points on the boundary in the boundary, comparing the contour area with a set area threshold according to the contour area, and judging that the article information is changed if the contour area is greater than the set area threshold; and if the outline area is smaller than the set area threshold value, judging that the article information is not changed.
Further, the method for converting the item image into the gray image through the brightness calculation in step S1 performs the following steps: the item image pixel is first divided into three components R, G and B, and for an item image pixel with three components R, G and B, the intensity of the point is calculated as follows: I-0.3B +0.59G +0.IR is converted into a grayscale image.
Further, the extraction of the image edge contour in step S1 is realized by a Sobel operator template.
A method of an online, offline multi-channel merchandise inventory sharing system, the method performing the steps of:
step 1: storing the article in a storage unit of a storage unit;
step 2: acquiring product information in the article storage unit and sending the product information to the information storage unit;
and step 3: storing the product information;
and 4, step 4: monitoring product information in the article storage unit in real time, and updating the changed product information to the information storage unit in real time when the product information is found to be changed;
and 5: and the information sharing unit shares the information in the information storage unit in real time.
Further, in the step 5: the information sharing unit is used for sharing the information in the information storage unit in real time and executing the following steps: and broadcasting the product information stored in the information storage unit in a broadcast communication mode.
Further, in the step 5: the information sharing unit is used for sharing the information in the information storage unit in real time and executing the following steps: linking the information sharing unit into a block chain network; the information sharing unit shares information to other information sharing units through the block chain network.
Compared with the prior art, the invention has the following beneficial effects:
1. the automation degree is high: the invention has high automation degree, and realizes the sharing of commodity inventory by automatically realizing the acquisition of information of inventory articles, the updating of the information and the sharing of the information; compared with the traditional commodity inventory system, the automatic identification method has the advantages that the whole process is automatically identified, manual participation is not needed, and the automation degree is higher.
2. The sharing is convenient: the invention realizes data sharing by a method of broadcasting data or block chains, ensures that stock data can be shared in time, is very convenient in the sharing process and does not need to carry out additional operation.
3. The data security is high advantage: the data security of the invention is high, the data processed each time can be backed up, the data can not be lost due to system failure, and the data security is improved.
Drawings
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a schematic system structure diagram of an online-offline multi-channel commodity inventory sharing system according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a method for sharing inventory of online and offline multi-channel commodities according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
Example 1
An online, offline multi-channel inventory sharing system for commodities, said system comprising: the system comprises an article storage unit, an information uploading unit, an information updating unit and an information sharing unit; the article storage unit is composed of a plurality of storage units; the storage unit comprises a plurality of receiving units for receiving articles; the information uploading unit is used for acquiring the product information in the article storage unit and sending the product information to the information storage unit; the information storage unit is used for storing product information; the information updating unit is used for monitoring the product information in the article storage unit in real time and updating the changed product information to the information storage unit in real time when the product information is found to be changed; the information sharing unit shares the information in the information storage unit in real time.
Specifically, when a merchant purchases commodities, the types and the number of the commodities are often purchased by means of purchasing experiences of purchasing personnel, so that insufficient purchasing of the lacking commodities and excessive purchasing of the commodities with lost sales are easily caused.
Example 2
On the basis of the above embodiment, the information updating unit includes: the system comprises an information monitoring unit and a data processing unit; the information monitoring unit includes: an image acquisition device and an illumination device provided in the storage unit; the data processing unit is used for processing the image information acquired by the image acquisition device, judging whether the product information of the article in the storage unit is changed or not, and updating the changed information into the information storage unit in real time if the product information is changed; and if the product information is not changed, the product information is not processed.
Specifically, the lighting device is automatically turned on when the lighting device senses that the illumination intensity is insufficient, and the image acquisition device can acquire images under a better illumination condition.
Example 3
On the basis of the above embodiment, the method for the data processing unit to determine whether the image information of the image acquisition device is changed performs the following steps:
step 1: intercepting a local image in the image information, acquiring local features of the local image, and acquiring feature vectors of the local features;
step 2: respectively limiting the searched objects for each feature vector of the local image;
and step 3: searching for feature vectors close to the feature vectors of the local image from the search target, and specifying feature vectors close to the feature vectors of the local image;
and 4, step 4: comparing each feature vector with a preset feature vector, and if the comparison results are the same, judging that the article information is not changed; and if the comparison results are different, judging that the article information is changed.
Example 4
On the basis of the above embodiment, the method for the data processing unit to determine whether the image information of the image acquisition device is changed performs the following steps:
step S1: converting the obtained object image into a gray image through brightness calculation, extracting edge contours in the image, and obtaining a known region shape after extraction;
step S2: carrying out ellipse fitting on the edge contour of the known region, detecting a boundary curve by using Hough transform, and obtaining parameters of a long axis, a short axis and a central point of an ellipse;
step S3: carrying out contour area threshold processing, calculating the contour area by counting the number of images containing points on the boundary in the boundary, comparing the contour area with a set area threshold according to the contour area, and judging that the article information is changed if the contour area is greater than the set area threshold; and if the outline area is smaller than the set area threshold value, judging that the article information is not changed.
In particular, image recognition may be based on the main features of the image. Each image has its features such as the letter a having a tip, P having a circle, and the center of Y having an acute angle, etc. The study of eye movement in image recognition shows that the sight line is always focused on the main features of the image, namely, the places where the curvature of the contour of the image is maximum or the direction of the contour changes suddenly, and the information content of the places is maximum. And the scan path of the eye always goes from one feature to another in turn. Therefore, in the image recognition process, the perception mechanism must exclude the input redundant information and extract the key information. At the same time, there must be a mechanism in the brain that is responsible for integrating information, which can organize the information obtained in stages into a complete perceptual map.
In a human image recognition system, complex images are often recognized through different levels of information processing. For a familiar figure, it is recognized as a unit by grasping its main features, and its details are not paid attention to. Such an integral unit composed of isolated unit material is called a block, each of which is sensed simultaneously. In the recognition of the character material, people can not only form the units of strokes or components of a Chinese character into a block, but also can recognize the frequently-occurring characters or phrases into block units.
In computer vision recognition systems, image content is often described in terms of image features. In fact, computer vision based image retrieval can also be divided into three steps like a text search engine: extracting features, building an index build and querying.
Example 5
On the basis of the above embodiment, the method for converting the article image into the gray-scale image in step S1 through the brightness calculation performs the following steps: the item image pixel is first divided into three components R, G and B, and for an item image pixel with three components R, G and B, the intensity of the point is calculated as follows: I-0.3B +0.59G +0.IR is converted into a grayscale image.
Example 6
On the basis of the above embodiment, the extraction of the image edge contour in step S1 is implemented by using a Sobel operator template.
Example 7
As shown in fig. 2, a method of an online-to-offline multi-channel inventory sharing system for commodities performs the following steps:
step 1: storing the article in a storage unit of a storage unit;
step 2: acquiring product information in the article storage unit and sending the product information to the information storage unit;
and step 3: storing the product information;
and 4, step 4: monitoring product information in the article storage unit in real time, and updating the changed product information to the information storage unit in real time when the product information is found to be changed;
and 5: and the information sharing unit shares the information in the information storage unit in real time.
Example 8
On the basis of the above embodiment, in step 5: the information sharing unit is used for sharing the information in the information storage unit in real time and executing the following steps: and broadcasting the product information stored in the information storage unit in a broadcast communication mode.
Example 9
On the basis of the above embodiment, in step 5: the information sharing unit is used for sharing the information in the information storage unit in real time and executing the following steps: linking the information sharing unit into a block chain network; the information sharing unit shares information to other information sharing units through the block chain network.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (9)
1. An online, offline multi-channel inventory sharing system for commodities, said system comprising: the system comprises an article storage unit, an information uploading unit, an information updating unit and an information sharing unit; the article storage unit is composed of a plurality of storage units; the storage unit comprises a plurality of receiving units for receiving articles; the information uploading unit is used for acquiring the product information in the article storage unit and sending the product information to the information storage unit; the information storage unit is used for storing product information; the information updating unit is used for monitoring the product information in the article storage unit in real time and updating the changed product information to the information storage unit in real time when the product information is found to be changed; the information sharing unit shares the information in the information storage unit in real time.
2. The system of claim 1, wherein the information update unit comprises an information monitoring unit and a data processing unit; the information monitoring unit includes: an image acquisition device and an illumination device provided in the storage unit; the data processing unit is used for processing the image information acquired by the image acquisition device, judging whether the product information of the article in the storage unit is changed or not, and updating the changed information into the information storage unit in real time if the product information is changed; and if the product information is not changed, the product information is not processed.
3. The system of claim 2, wherein the method for the data processing unit to determine whether the image information of the image capture device has changed performs the steps of:
step 1: intercepting a local image in the image information, acquiring local features of the local image, and acquiring feature vectors of the local features;
step 2: respectively limiting the searched objects for each feature vector of the local image;
and step 3: searching for feature vectors close to the feature vectors of the local image from the search target, and specifying feature vectors close to the feature vectors of the local image;
and 4, step 4: comparing each feature vector with a preset feature vector, and if the comparison results are the same, judging that the article information is not changed; and if the comparison results are different, judging that the article information is changed.
4. The system of claim 2, wherein the method for the data processing unit to determine whether the image information of the image capture device has changed performs the steps of:
step S1: converting the obtained object image into a gray image through brightness calculation, extracting edge contours in the image, and obtaining a known region shape after extraction;
step S2: carrying out ellipse fitting on the edge contour of the known region, detecting a boundary curve by using Hough transform, and obtaining parameters of a long axis, a short axis and a central point of an ellipse;
step S3: carrying out contour area threshold processing, calculating the contour area by counting the number of images containing points on the boundary in the boundary, comparing the contour area with a set area threshold according to the contour area, and judging that the article information is changed if the contour area is greater than the set area threshold; and if the outline area is smaller than the set area threshold value, judging that the article information is not changed.
5. The system of claim 4, wherein the step S1 of converting the image of the object into a gray scale image through a luminance calculation comprises the steps of: the item image pixel is first divided into three components R, G and B, and for an item image pixel with three components R, G and B, the intensity of the point is calculated as follows: I-0.3B +0.59G +0.IR is converted into a grayscale image.
6. The system according to claim 5, wherein the extraction of the image edge contour in step S1 is implemented by using a Sobel operator template.
7. A method of the online-offline multi-channel merchandise inventory sharing system according to any one of claims 1 to 6, wherein the method performs the steps of:
step 1: storing the article in a storage unit of a storage unit;
step 2: acquiring product information in the article storage unit and sending the product information to the information storage unit;
and step 3: storing the product information;
and 4, step 4: monitoring product information in the article storage unit in real time, and updating the changed product information to the information storage unit in real time when the product information is found to be changed;
and 5: and the information sharing unit shares the information in the information storage unit in real time.
8. The method of claim 7, wherein in step 5: the information sharing unit is used for sharing the information in the information storage unit in real time and executing the following steps: and broadcasting the product information stored in the information storage unit in a broadcast communication mode.
9. The method of claim 7, wherein in step 5: the information sharing unit is used for sharing the information in the information storage unit in real time and executing the following steps: linking the information sharing unit into a block chain network; the information sharing unit shares information to other information sharing units through the block chain network.
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| CN101536035A (en) * | 2006-08-31 | 2009-09-16 | 公立大学法人大阪府立大学 | Image recognition method, image recognition device, and image recognition program |
| CN101620676A (en) * | 2009-07-02 | 2010-01-06 | 浙江省电力公司 | Fast image recognition method of insulator contour |
| WO2018020608A1 (en) * | 2016-07-27 | 2018-02-01 | 株式会社オプティム | Inventory management system, inventory management method, and inventory management program |
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