CN116403339B - Printer intelligent management system and method based on RFID tag identification - Google Patents

Printer intelligent management system and method based on RFID tag identification Download PDF

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CN116403339B
CN116403339B CN202310673497.2A CN202310673497A CN116403339B CN 116403339 B CN116403339 B CN 116403339B CN 202310673497 A CN202310673497 A CN 202310673497A CN 116403339 B CN116403339 B CN 116403339B
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information
user
data
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CN116403339A (en
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巴嘎娜
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Meihengtong Intelligent Electronics Guangzhou Co ltd
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Meihengtong Intelligent Electronics Guangzhou Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/12—Digital output to print unit, e.g. line printer, chain printer
    • G06F3/1201—Dedicated interfaces to print systems
    • G06F3/1278—Dedicated interfaces to print systems specifically adapted to adopt a particular infrastructure
    • G06F3/1292—Mobile client, e.g. wireless printing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/12—Digital output to print unit, e.g. line printer, chain printer
    • G06F3/1201—Dedicated interfaces to print systems
    • G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
    • G06F3/1203—Improving or facilitating administration, e.g. print management
    • G06F3/1204—Improving or facilitating administration, e.g. print management resulting in reduced user or operator actions, e.g. presetting, automatic actions, using hardware token storing data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/12—Digital output to print unit, e.g. line printer, chain printer
    • G06F3/1201—Dedicated interfaces to print systems
    • G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
    • G06F3/1237—Print job management
    • G06F3/1238—Secure printing, e.g. user identification, user rights for device usage, unallowed content, blanking portions or fields of a page, releasing held jobs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Multimedia (AREA)
  • Accessory Devices And Overall Control Thereof (AREA)

Abstract

The application relates to the technical field of printing management, in particular to an intelligent printer management system and method based on RFID tag identification, comprising the following steps: the system comprises a preprocessing module, a database, an information acquisition module, a data analysis module, a data processing module and an information feedback module; the quality of the label paper is tested through the preprocessing module, and RFID label data of commodity information is generated; storing RFID tag data of all commodity data through the database; collecting all monitoring contents of the cameras in the target area through the information collecting module; analyzing the monitoring content through the data analysis module, confirming the commodity type selected by the user and analyzing whether the commodity data is abnormal or not; identifying an RFID tag key of normal data of the commodity through the data processing module, and performing self-service weighing and printing; the information feedback module is used for reminding the commodity abnormal data, so that the intelligence of the system is improved, and convenience is provided for the life of the user.

Description

Printer intelligent management system and method based on RFID tag identification
Technical Field
The application relates to the technical field of printing management, in particular to an intelligent printer management system and method based on RFID tag identification.
Background
In modern society, no matter what industry the product needs to be printed with a label to be attached to the product; with the development of society, common commodity labels can not meet real-time and efficient production requirements of manufacturing industry, and meanwhile, with the continuous maturation of RFID (radio frequency identification) internet of things technology, RFID bar code label printers are also popular in a plurality of industries.
The RFID printer is actually a thermal printer, is an instrument for printing by utilizing the chemical reaction of a sensitive element in a heating state, is also provided with a semiconductor element for heating thermal paper, prints data information on the surface of a label in a thermal printing mode, and performs wireless communication with an RFID electronic label chip through an antenna so as to realize reading and writing operation of data in the label chip. When the bar code data collector is used, the bar code needs to be aligned for short-distance reading; the RFID tag data can be collected and read in a certain range, and the maximum distance can reach 100 meters; RFID tag information can be read faster, and the reading rate can achieve up to hundreds of tags per second; reading the common bar code labels is carried out one by one; the common bar code label is not provided with a built-in chip antenna, and can only carry out visual printing of bar codes and other contents through a bar code printer; the RFID electronic tag connotes the chip and the antenna, and the data content is written into the chip for access at the same time of visual printing, or only the chip is read and written, the visual printing is not performed, and the tag content has confidentiality.
Disclosure of Invention
The application aims to provide an intelligent printer management system and method based on RFID tag identification, so as to solve the problems in the background technology.
In order to solve the technical problems, the application provides the following technical scheme: a printer intelligent management system based on RFID tag identification, the system comprising: the system comprises a preprocessing module, a database, an information acquisition module, a data analysis module, a data processing module and an information feedback module;
testing the quality of the label paper through a preprocessing module, and uploading RFID label data for generating commodity information to a database;
storing RFID tag data of all commodity data through a database;
collecting all monitoring contents of the cameras in the target area through an information collecting module, and carrying out network interconnection on the printer and the cameras in the target area;
analyzing the monitoring content through a data analysis module, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not;
identifying an RFID tag key of normal data of the commodity through a data processing module, and performing self-service weighing printing;
and reminding the commodity abnormal data through an information feedback module.
Further, the preprocessing module comprises a self-checking test unit and an information generation unit;
the self-checking test unit is used for confirming the quantity of the label paper and testing the quality of the label paper placed in the printer; the information generating unit is used for generating RFID tag data according to the entered commodity information, configuring a read-write key in the tag data, and uploading all data to the database;
wherein the commodity information comprises commodity type, single commodity weight and commodity position; meanwhile, the RFID tag data comprises a first storage area and a storage control area, wherein the commodity data is stored in 16 bytes, the commodity data comprises tag width, height, interval, remaining number, sensor type, paper type and the like, the last byte is a check code, and the check code is stored in the first storage area of the RFID tag and is configured with a read-write key; the storage control area is set to be readable and writable;
further, the database is used for storing RFID tag data of all commodity data and simultaneously storing position information of all areas;
further, the information acquisition module comprises a portrait acquisition unit and a region discrimination unit;
the portrait acquisition unit is used for acquiring all portrait information in the target area by using OpenCV and sending the information to the area discrimination unit; the area judging unit is used for collecting the stay time of the user area, judging possible commodity data selected by the user, obtaining personalized commodity data according to the user information and marking;
the target area belongs to an area needing self-service printing and weighing.
Further, the data analysis module comprises a trend judging unit and a weight analysis unit;
the trend judging unit is used for extracting the image data of the camera user closest to the weighing area, analyzing the printing trend of the user, extracting the marking information if the camera user is judged to be ready for self-service printing, confirming the personalized commodity data of the user, entering the weight analyzing unit, and otherwise, returning to the information collecting module; the weight analysis unit is used for analyzing the weight of the commodity, identifying the type of the commodity selected by the user, if the commodity cannot be identified, confirming that the commodity data is abnormal, otherwise, if the commodity is identified normally, sending the commodity RFID tag data to the data processing module.
Further, the data processing module comprises a label paper identification unit and an autonomous printing unit;
the label paper identification unit is used for identifying the number of the residual sheets of label paper in the printing process, and entering the autonomous printing unit when the number p of the residual sheets is more than 0; and the autonomous printing unit is used for reading the RFID tag key and performing autonomous printing.
Further, the information feedback module comprises a weighing abnormal feedback unit and a printing abnormal feedback unit;
the weighing abnormal feedback unit is used for feeding back the weighing abnormal data, confirming that the user selects different types of commodities, and carrying out voice reminding on the user; the printing abnormality feedback unit is used for sending the identification abnormality information of the commodity label paper to related personnel for timely feedback processing.
A printer intelligent management method based on RFID tag identification comprises the following steps:
s100: testing the quality of the label paper, and generating RFID label data of commodity information according to the recorded commodity information;
s200: storing the RFID tag data of all the commodity data in the step S100;
s300: the printer is connected with the cameras in the target area through the network, and all monitoring contents of the cameras in the target area are collected;
s400: analyzing the monitoring content of the step S300, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not;
s500: identifying an RFID tag key of normal data of the commodity, and performing self-service weighing and printing;
s600: when the commodity weighing data is abnormal, confirming that the user selects different types of commodities, and carrying out voice reminding on the user; meanwhile, in the printing process, when the commodity label paper is abnormal in identification, information is sent to related personnel for timely feedback processing.
Further, in step S100, the method further includes the following steps:
s101: when the label paper is identified to be put into the merging cover, confirming the quantity of the label paper and reminding the label paper with quality problems;
s102: all commodity information input by staff is collected, different RFID tag data are generated according to different commodity information, and a tag information set is formed: B.
further, in step S200: the RFID tag data of all the commodity data and the position information of the target area are stored by a database.
Further, in step S300: collecting all monitoring contents of a camera in a target area;
in step S300: collecting all monitoring contents of cameras in a target area, comprising the following steps:
s301: collecting all portrait information in a target area by using OpenCV to form a user information set: a, A is as follows; the target area belongs to an area needing self-service printing and weighing;
s302: extracting arbitrary user information in user information set ACollect user +.>Residence time t in the zone respectively;
s303: for arbitrary user information based on user dwell timeLocks the target commodity range of (1) and +.>Carrying out association marking on label information corresponding to each commodity in the target commodity range;
in step S303, the selection range is confirmed, including the steps of:
1) Constructing a two-dimensional plane coordinate system in a target area, and carrying out corresponding identification on the position information of each type of commodity stored in a database based on the two-dimensional plane coordinate system;
2) When the stay time of the user in the area is identified by the cameraWhen the user indicates the possibility of selecting the goods in the area, wherein +.>Representing a time threshold, identifying the user +_ using a positioning algorithm>The position of (h, k) is, at this time, user +.>The position of (1) is used as a circle center, and r is used as a radius to establish a circular area;
3) Extracting all commodity information covered in the space position information range, judging all the covered commodity information as a target commodity range of a user, and extracting label information corresponding to each commodity in the target commodity range to obtain a commodity label information set corresponding to the target commodity range:wherein->Wherein, the method comprises the steps of, wherein,label information of the 1 st, 2 nd, s goods corresponding to the target goods range, and arbitrary user information +.>And carrying out association marking on the label information of each commodity in the commodity label information set U.
Further, in step S400: analyzing the monitoring content of the step S300, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not, wherein the specific steps are as follows:
s401: extracting user image data from a camera nearest to a weighing area, analyzing printing trend of a user, and if any user information is obtainedThe printing trend of (1) presents self-service printing, and then step S402 is entered;
in step S401, arbitrary user information is analyzed according to the user pathComprises the following steps:
1) When the camera recognizes any user informationWhen the timer is used for carrying out timing photographing treatment, g image data are obtained;
extracting user features from the g image data by using an LBP feature extraction method, and locking spatial position information of a user corresponding to each image data based on user feature distribution obtained by recognition in each image data;
the LBP feature extraction method and the coincidence algorithm are conventional technical means of those skilled in the art, so that excessive redundant description is not made in the application;
2) Performing straight line fitting according to the position coordinate set: extracting a set of position coordinatesF=1, 2, …, g, giving the mean abscissa +.>Mean value of the same theory and ordinate->Then a straight line fitting equation is obtained: />The method comprises the steps of carrying out a first treatment on the surface of the Wherein the method comprises the steps ofThe method comprises the steps of carrying out a first treatment on the surface of the Wherein v represents the slope of the straight line fitting equation, +.>Representing constant terms; the straight line fitting equation is used as the arbitrary user information +.>Is a motion trajectory equation of (2);
3) Extracting position coordinates of a weighing areaConfirm position +.>To straight line->Is the distance of (2)；
4) Analyzing arbitrary user information based on distance qIs a printing trend of (a): when->At the time, it indicates that the user has a tendency to perform self-service weigh printing, wherein +.>If the distance error is indicated, judging that the user is ready to perform self-service printing, and entering step S402; on the contrary, when->If it is indicated that the user does not intend to print the commodity immediately after selecting the commodity, the process returns to step S300.
S402: and extracting a relevant label information set U, and analyzing the weight of the commodity when weighing, so as to confirm the type of the commodity selected by the user.
In step S402, confirming the type of commodity selected by the user and analyzing whether the commodity weighing data is abnormal, comprising the steps of:
1) Acquiring commodity weight w displayed by a weighing machine on a commodity finally selected by a current user; extracting the weight corresponding to each commodity contained in the commodity label information set U, and converging the weight into a corresponding commodity weight set S;
2) Traversing the weight set S, and respectively calculating the average weight of the commodity weight w corresponding to each type of commodity contained in the commodity label information set UThe ratio of: />Respectively obtaining weight remainder presented between various types of commodities and the commodity weight w contained in the commodity label information set U, and collecting the weight remainder set E;
wherein each type represents different varieties of the same type of commodity; in general, the net weights of all types of commodities are not completely consistent, but certain regularity exists, so that when the weight of the commodity selected by a user is multiple of the weight of a single commodity or the remainder is within an error, the type of the commodity can be confirmed;
3) Traversing the weight remainder set and judging any weight remainderError with weight->Is the relation of: when->In the case of>Extracting commodity label information of the corresponding commodity, setting the commodity label information as target commodity label information, and entering step S500; on the contrary, if->When the printer cannot identify the commodity type, the system judges any user information +>The commodity printing data is abnormal due to the weighing of the selected commodities of different types, and the process proceeds to step S600.
Further, in step S500, the method further includes the following steps:
s501: identifying the number of label sheets in the printer: when the remaining number p of the label paper is greater than 0, the printer successfully identifies the label paper, and the step S503 is entered; on the contrary, when the remaining number p=0, the printer fails to recognize the label paper, and printing is not allowed, and the process proceeds to step S600;
s502: extracting corresponding key information from target commodity label information, identifying key data, performing intelligent self-service printing, changing the number of the remaining label paper into p-1 at the moment, and writing back into a printer label;
further, in step S600, the method further includes the following steps:
s601: when the commodity weighing data is abnormal, confirming that the user selects different types of commodities, and carrying out voice reminding on the user;
s602: in the printing process, when the commodity label paper is abnormal, information is sent to related personnel for timely feedback processing.
Compared with the prior art, the application has the following beneficial effects:
when the label paper is put in the printer, the quantity of the label paper is confirmed and the quality of the label paper put in the printer is tested, so that illegal label paper is prevented from being used as a genuine product, and the printing quality and the user rights are ensured; the printer and the camera in the target area are interconnected through the network, so that artificial intelligence is realized, the intelligence of the system is improved, and convenience is provided for life of users; the special key is configured on the RFID tag, so that the security of the data is protected, and the tampering of the data is prevented; the camera is used for collecting user information, and the personalized commodity data of the user is screened according to the residence time of the user in the area, so that the calculation time of the system is reduced, the working efficiency of the system is improved, errors are reduced, the personalized commodity big data are formed for different users, the accuracy of system analysis is facilitated, and the verification of the commodity type selected by the user is facilitated; the photographed images closest to the weighing area are extracted to be overlapped, so that a user movement track is obtained, and the subsequent analysis of the fitting and activity prediction of the route is facilitated; by establishing two-dimensional plane coordinates, straight line fitting is carried out on the position change of the user, and the distance between the weighing area and the straight line is calculated, so that whether the user has a tendency of weighing printing or not can be predicted, and the accuracy of path analysis is facilitated by error analysis; by comparing the weight of the commodity displayed by the commodity finally selected by the user with the average weight of the single commodity, the net weights of the commodities of all types are not completely consistent under the general condition, but certain regularity exists, so that when the weight of the commodity selected by the user is in multiple or remainder with the weight of the single commodity, the commodity type can be confirmed, the commodity does not need to be input manually, the efficiency is greatly improved, and the labor cost is reduced; through the surplus number of identification label paper, whether the analysis can normally print, carry out intelligent warning, help in time changing the increase to printing the label, improve the intelligence of system, provide convenience for user's life.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application. In the drawings:
FIG. 1 is a block diagram of a printer intelligent management system based on RFID tag identification of the present application;
fig. 2 is a flowchart of a printer intelligent management method based on RFID tag identification according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1-2, the present application provides the following technical solutions: an intelligent printer management system based on RFID tag identification, the system comprising: the system comprises a preprocessing module, a database, an information acquisition module, a data analysis module, a data processing module and an information feedback module;
testing the quality of the label paper through a preprocessing module, and uploading RFID label data for generating commodity information to a database;
the preprocessing module comprises a self-checking test unit and an information generation unit;
the self-checking test unit is used for confirming the quantity of the label paper to be uploaded to the database and testing the quality of the label paper placed in the printer, so that illegal label paper is prevented from being used as an illegal product, and the printing quality and the user rights are ensured;
the information generating unit is used for generating RFID tag data according to the entered commodity information, configuring a read-write key in the tag data, and uploading all data to the database;
wherein the commodity information comprises commodity type, single commodity weight and commodity position; meanwhile, the RFID tag data comprises a first storage area and a storage control area, wherein commodity data is stored in 16 bytes, the commodity data comprises tag width, height, interval, remaining number, sensor type, paper type and the like, the last byte is a check code, the check code is stored in the first storage area of the RFID tag, and a read-write key is configured; the storage control area is made readable and writable.
Storing RFID tag data of all commodity data through a database;
the database is used for storing RFID tag data of all commodity data and simultaneously storing position information of all areas.
All monitoring contents of the cameras in the target area are collected through the information collection module, and the printer is connected with the cameras in the target area through a network, so that the follow-up analysis of the monitoring contents is facilitated;
the information acquisition module comprises a human image acquisition unit and an area discrimination unit;
the portrait acquisition unit is used for acquiring all portrait information in the target area by using OpenCV and sending the information to the area discrimination unit;
the area judging unit is used for collecting the stay time of the user area and judging possible data of the commodity selected by the user: if the residence time of the user at a certain position exceeds a threshold value, a circular area is established, and commodity information in the circular area is used as personalized commodity data to be marked; the target area belongs to an area needing self-service printing and weighing;
the personalized commodity big data are formed for different users, so that the accuracy of system analysis is facilitated, and the verification of the commodity type selected by the user is facilitated.
Analyzing the monitoring content through a data analysis module, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not;
the data analysis module comprises a trend judgment unit and a weight analysis unit;
the trend judging unit is used for extracting the image data of the camera user closest to the weighing area, analyzing the printing trend of the user, extracting the marking information if the camera user is judged to be ready for self-service printing, confirming the personalized commodity data of the user, entering the weight analyzing unit, and otherwise, returning to the information collecting module;
the weight analysis unit is used for analyzing the weight of the commodity, identifying the type of the commodity selected by the user, if the commodity cannot be identified, confirming that the commodity data is abnormal, otherwise, if the commodity is identified normally, sending the commodity RFID tag data to the data processing module; by analyzing the types of the commodities according to the weights of the commodities, when the weight of the commodity selected by the user is in a multiple or remainder of the weight of the single commodity, the types of the commodities can be confirmed, the commodity does not need to be input manually, the efficiency is greatly improved, and the labor cost is reduced.
Identifying an RFID tag key of normal data of the commodity through a data processing module, and performing self-service weighing printing;
the data processing module comprises a label paper identification unit and an autonomous printing unit;
the label paper identification unit is used for identifying the number of the residual sheets of label paper in the printing process, and entering the autonomous printing unit when the number of the residual sheets P is more than 0;
and the autonomous printing unit is used for reading the RFID tag key and performing autonomous printing.
And reminding the commodity abnormal data through an information feedback module.
The information feedback module comprises a weighing abnormal feedback unit and a printing abnormal feedback unit;
the weighing abnormal feedback unit is used for feeding back the weighing abnormal data, confirming that the user selects different types of commodities, and carrying out voice reminding on the user; the printing abnormality feedback unit is used for sending the identification abnormality information of the commodity label paper to related personnel for timely feedback processing.
A printer intelligent management method based on RFID tag identification comprises the following steps:
s100: testing the quality of the label paper, and generating RFID label data of commodity information according to the recorded commodity information;
in step S100, the method further includes the steps of:
s101: when the label paper is identified to be put into the merging cover, confirming the quantity of the label paper and reminding the label paper with quality problems;
s102: all commodity information input by staff is collected, different RFID tag data are generated according to different commodity information, and a tag information set is formed: B.
s200: storing the RFID tag data of all the commodity data in the step S100;
in step S200: the RFID tag data of all the commodity data and the position information of the target area are stored by a database.
S300: the printer is connected with the cameras in the target area through the network, and all monitoring contents of the cameras in the target area are collected;
in step S300: collecting all monitoring contents of cameras in a target area, comprising the following steps:
s301: collecting all portrait information in a target area by using OpenCV to form a user information set: a, A is as follows; the target area belongs to an area needing self-service printing and weighing;
s302: extracting arbitrary user information in user information set ACollect user +.>Residence time t in the zone respectively;
s303: determining arbitrary user information from user dwell time tThe selected commodity possible data are marked according to personalized commodity data obtained by the user information;
in step S303, commodity possible data is confirmed, including the steps of:
1) Constructing a two-dimensional plane coordinate system according to the target area position, and carrying out corresponding identification on commodity position information stored in a database;
2) When the stay time of the user in the area is identified by the cameraWhen the user indicates the possibility of selecting the goods in the area, wherein +.>Representing a time threshold, identifying the user +_ using a positioning algorithm>The position of (h, k) is, at this time, user +.>The position of (1) is used as a circle center, and r is used as a radius to establish a circular area;
3) Extracting all commodity information covered in the space position information range, judging the covered commodity information as a target commodity range of a user, extracting label information corresponding to each commodity in the target commodity range,obtaining a commodity label information set corresponding to the range of the target commodity:wherein->Wherein, the method comprises the steps of, wherein,label information of the 1 st, 2 nd, s goods corresponding to the target goods range, and any user information +.>And carrying out association marking on the label information of each commodity in the commodity label information set U.
S400: analyzing the monitoring content of the step S300, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not;
in step S400: analyzing the monitoring content of the step S300, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not, wherein the specific steps are as follows:
s401: extracting the image data of the camera user closest to the weighing area, analyzing the printing trend of the user, and if the user is judged to be ready for self-service printing, entering step S402;
in step S401, a user is analyzed according to a user pathComprises the following steps:
1) When the camera identifies the userWhen the timer is used for carrying out timing photographing treatment, g image data are obtained;
extracting texture features of g image data by using an LBP feature extraction method, sequentially carrying out pixel fusion on the image textures with the same pixel points by using a coincidence algorithm, and generating new pixel points which are users at the momentIs a moving position of (a);
the LBP feature extraction method and the coincidence algorithm are conventional technical means of those skilled in the art, so that excessive redundant description is not made in the application;
2) Performing straight line fitting according to the position coordinate set: extracting a set of position coordinatesObtaining the abscissa mean +.>Mean value of the same theory and ordinate->Then a straight line fitting equation is obtained: />；
Wherein the method comprises the steps ofWherein v represents the slope of the straight line fitting equation, +.>Representing constant terms; the straight line fitting equation is used as the arbitrary user information +.>Is a motion trajectory equation of (2);
3) Extracting position coordinates of a weighing areaConfirm position +.>To straight line->Is the distance of (2)；
4) Analyzing a user based on distance qIs a printing trend of (a): when->At the time, it indicates that the user has a tendency to perform self-service weigh printing, wherein +.>If the distance error is indicated, judging that the user is ready to perform self-service printing, and entering step S402; on the contrary, when->If it is indicated that the user does not intend to print the commodity immediately after selecting the commodity, the process returns to step S300.
S402: and extracting a relevant label information set U, and analyzing the weight of the commodity when weighing, so as to confirm the type of the commodity selected by the user.
In step S402, confirming the type of commodity selected by the user and analyzing whether the commodity weighing data is abnormal, comprising the steps of:
1) Acquiring commodity weight w displayed by a weighing machine on a commodity finally selected by a current user; extracting the weight corresponding to each commodity contained in the commodity label information set U, and converging the weight into a corresponding commodity weight set S;
2) Traversing the weight set S, and respectively calculating the average weight of the commodity weight w corresponding to each type of commodity contained in the commodity label information set UThe ratio of: />Respectively obtaining weight remainder presented between each commodity and the commodity weight w contained in the commodity label information set U, and collecting the weight remainder set E;
wherein each type represents different varieties of the same type of commodity; in general, the net weights of all types of commodities are not completely consistent, but certain regularity exists, so that when the weight of the commodity selected by a user is multiple of the weight of a single commodity or the remainder is within an error, the type of the commodity can be confirmed;
3) Traversing the weight remainder set and judging any weight remainderError with weight->Is the relation of: when->In the case of>Extracting commodity label information of the corresponding commodity, setting the commodity label information as target commodity label information, and entering step S500; on the contrary, if->When the printer cannot identify the commodity type, the system judges any user information +>The commodity printing data is abnormal due to the weighing of the selected commodities of different types, and the process proceeds to step S600.
S500: identifying an RFID tag key of normal data of the commodity, and performing self-service weighing and printing;
in step S500, the method further includes the steps of:
s501: identifying the number of label sheets in the printer: when the number p of the remaining label paper is more than 0, the printer successfully identifies the label paper, and the step S502 is entered; on the contrary, when the remaining number p=0, the printer fails to recognize the label paper, and printing is not allowed, and the process proceeds to step S600;
s502: extracting commodity RFID tag informationIdentifying a key numberAccording to the method, intelligent self-service printing is carried out, at the moment, the number of the rest label paper is changed into p-1, and the p-1 is written back into a printer label;
s600: prompting the abnormal data of the commodity;
in step S600, the method further includes the steps of:
s601: when the commodity weighing data is abnormal, confirming that the user selects different types of commodities, and carrying out voice reminding on the user;
s602: in the printing process, when the commodity label paper is abnormal, information is sent to related personnel for timely feedback processing.
Embodiment one: in step S100, the method further includes the steps of:
s101: when the label paper is identified to be put into the merging cover, confirming the quantity 1000 of the label paper, and carrying out self-checking on the quality of the label paper, wherein the label paper is detected normally at the moment;
at present, the RFID technology is applied to management of a plurality of supermarkets, however, in a plurality of supermarkets, a plurality of commodities are required to be weighed and label information is printed, the implementation of the processes all needs to be manually processed, and when the number of customers is too large, the phenomenon of overlong queuing time can occur due to limited manpower, so that the time cost is greatly increased.
S102: all commodity information recorded by staff is collected { "apple, 600g, (5, 10)", "watermelon, 1.5kg, (20, 31)", "and then different RFID tag data are generated according to different commodity information, so as to form a tag information set: B.
in step S200: the RFID tag data of all the commodity data and the position information of the target area are stored by a database.
In step S300: collecting all monitoring contents of cameras in a target area, comprising the following steps:
s301: collecting all portrait information in a target area by using OpenCV to form a user information set: a, A is as follows; the target area belongs to an area needing self-service printing and weighing;
s302: extracting arbitrary user information in user information set ACollect user +.>Residence time t in the zone respectively;
s303: determining a user from a user dwell time tThe selected commodity possible data are marked according to personalized commodity data obtained by the user information;
in step S303, commodity possible data is confirmed, including the steps of:
1) Constructing a two-dimensional plane coordinate system according to the target area position, and carrying out corresponding identification on commodity position information stored in a database;
2) When the stay time t >5s of the user in the area is identified by the camera, the possibility that the user selects the goods in the area is indicated;
extracting a user with a dwell time t=10s using a positioning algorithmThe position (5, 8) of (C) is, at this time, given by user +.>Is used as a circle center, r is used as a radius to establish a circular area: (x-5) 2 +(y-8) 2 =4；
3) Extracting 5 pieces of commodity information covered in the circular area, confirming the commodity information as possible commodity data, forming personalized commodity big data of a user, and obtaining a relevant label information set:j=1, 2,..5, wherein>At this time, the user isMarking with a tag information set UCorresponding to the above.
In step S400: analyzing the monitoring content of the step S300, confirming the type of the commodity selected by the user according to the commodity weight and analyzing whether the commodity data is abnormal or not, wherein the specific steps are as follows:
s401: extracting the image data of the camera user closest to the weighing area, analyzing the printing trend of the user, and if the user is judged to be ready for self-service printing, entering step S402;
s402: and extracting a relevant label information set U, and analyzing the weight of the commodity when weighing, so as to confirm the type of the commodity selected by the user.
In step S401, a user is analyzed according to a user pathComprises the following steps:
1) When the camera v recognizes the userWhen the timer is used for carrying out timing photographing treatment, 3 image data are obtained;
extracting texture features of 3 image data by using an LBP feature extraction method, sequentially carrying out pixel fusion on the same image textures of each pixel point by using a coincidence algorithm, and generating new pixel points which are users at the momentIs a moving position of (a);
2) Establishing a two-dimensional plane coordinate by taking the position of the camera v as the center, and extracting a userAnd confirms the user +.>Obtaining a position coordinate set: (X, Y) = = ->,f=1,2,...,10；
3) Performing straight line fitting according to the position coordinate set (X, Y): extracting a position coordinate set (X, Y) = { (1, 0.5), (1.2,1.5), (1.5, 2) } to obtain an abscissa mean valueMean value of the same theory and ordinate->Then a straight line fitting equation is obtained: />The method comprises the steps of carrying out a first treatment on the surface of the Wherein->；
4) Extracting position coordinates (2, 0) of the weighing area, and confirming the position (2, 0) to be a straight lineDistance of +.>；
5) Analyzing a user based on distance qIs a printing trend of (a): when q is less than or equal to 2, indicating that the user has a tendency of self-help weighing printing, judging that the user is ready to perform self-help printing, and entering step S402;
in step S402, confirming the type of commodity selected by the user and analyzing whether the commodity weighing data is abnormal, comprising the steps of:
1) When weighing is carried out, a weighing machine is utilized to identify that the weight of the commodity is 3.7kg, and then the relevant label information set is extractedThe weights of 5 commodities in (a) form a weight set s= {0.6,1,1.5. };
2) Traversing the weight set S according toThe remainder e=of the weight of 5 products is obtained{0.01,0.7,0.7,...},j=1,2,...,5；
3) Traversing weight remainder E to judge weight remainder of any commodityError with weight->Is the relation of: />If the commodity weighing data is normal, confirming that the commodity label information is +.>= { "apple, 600g, (5, 10)" }, step S500 is entered;
in step S500, the method further includes the steps of:
s501: identifying the number of label sheets in the printer: if the remaining number p=500 of the label paper, the printer successfully identifies the label paper, and the process proceeds to step S502;
s502: extracting commodity RFID tag informationIdentifying key data, performing intelligent self-service printing, changing the number of the remaining label paper to 500-1=499 at the moment, and writing back to a printer label;
finally, it should be noted that: the foregoing description is only a preferred embodiment of the present application, and the present application is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present application has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (6)

1. The utility model provides a printer intelligent management system based on RFID label discernment which characterized in that: the system comprises: the system comprises a preprocessing module, a database, an information acquisition module, a data analysis module, a data processing module and an information feedback module;
the quality of the label paper is tested through the preprocessing module, and RFID label data of commodity information is generated;
storing RFID tag data of all commodity data through the database;
collecting all monitoring contents of the cameras in the target area through the information collecting module;
analyzing the monitoring content through the data analysis module, confirming the commodity type selected by the user and analyzing whether the commodity data is abnormal or not;
identifying an RFID tag key of normal data of the commodity through the data processing module, and performing self-service weighing and printing;
prompting the commodity abnormal data through the information feedback module;
the preprocessing module comprises a self-checking test unit and an information generation unit;
the self-checking test unit is used for confirming the quantity of the label paper and testing the quality of the label paper put into the printer; the information generating unit is used for generating RFID tag data according to the entered commodity information, configuring a read-write key in the tag data and uploading all data to the database;
the information acquisition module comprises a portrait acquisition unit and an area discrimination unit;
the portrait acquisition unit is used for acquiring all portrait information in a target area by using OpenCV and sending the information to the area discrimination unit; the area judging unit is used for collecting the stay time of the user area, judging possible data of the commodity selected by the user and marking;
the data analysis module comprises a trend judging unit and a weight analysis unit;
the trend judging unit is used for extracting the image data of the camera user closest to the weighing area, analyzing the printing trend of the user, and entering the weight analysis unit if the user is judged to be ready for self-service printing; the weight analysis unit is used for analyzing the weight of the commodity and identifying the type of the commodity selected by the user, and if the commodity cannot be identified, the commodity data is confirmed to be abnormal.
2. The intelligent printer management method based on RFID label identification is characterized by comprising the following steps of: the method comprises the following steps:
s100: testing the quality of the label paper, and generating RFID label data of commodity information according to the recorded commodity information;
s200: storing the RFID tag data of all the commodity data in the step S100;
s300: the method comprises the steps of carrying out network interconnection on printers in a target area and all cameras in the target area, and collecting all monitoring contents of the cameras in the target area;
s400: analyzing the monitoring content of the step S300, confirming the commodity type selected by the user and analyzing whether the commodity data is abnormal or not;
s500: identifying an RFID tag key of normal data of the commodity, and performing self-service weighing and printing;
s600: when the commodity weighing data is abnormal, confirming that the user selects different types of commodities, and carrying out voice reminding on the user; meanwhile, in the printing process, when the commodity label paper is abnormal, information is sent to related personnel for timely feedback processing;
in step S100, the method further includes the steps of:
s101: when the label paper is identified to be put into the merging cover, confirming the quantity of the label paper, and reminding the label paper with the quality problem;
s102: all commodity information input by staff is collected, different RFID tag data are generated according to different commodity information, and a tag information set is formed: b, a step of preparing a composite material;
in step S300: collecting all monitoring contents of cameras in a target area, comprising the following steps:
s301: collecting all portrait information in a target area by using OpenCV to form a user information set: a, A is as follows;
s302: extracting arbitrary user information in user information set AFor any user information->Capturing and collecting residence time generated in a target area;
s303: for arbitrary user information based on user dwell timeLocks the target commodity range of (1) and +.>And carrying out association marking on label information corresponding to each commodity in the target commodity range.
3. The intelligent printer management method based on the identification of the RFID tag according to claim 2, wherein: in step S303, the target commodity range is confirmed, including the steps of:
1) Constructing a two-dimensional plane coordinate system in a target area, and carrying out corresponding identification on the position information of each type of commodity stored in a database based on the two-dimensional plane coordinate system;
2) When the arbitrary user information is identified based on the cameraDwell time in a certain region of the target region +.>In the case of->Representing a time threshold value, and extracting a spatial position information range contained in the certain area range based on a positioning algorithm system;
3) Extracting all commodity information covered in the space position information rangeThe covered commodity information is judged to be a target commodity range of a user, and label information corresponding to each commodity in the target commodity range is extracted to obtain a commodity label information set corresponding to the target commodity range:wherein->Wherein, the method comprises the steps of, wherein,tag information of the 1 st, 2 nd, … th and s th commodities in the range corresponding to the target commodity is respectively expressed, and arbitrary user information is +.>And carrying out association marking on the label information of each commodity in the commodity label information set U.
4. A printer intelligent management method based on RFID tag identification according to claim 3, wherein: in step S400: analyzing the monitoring content of the step S300, judging the printing trend of the user, and confirming the commodity type selected by the user, wherein the method comprises the following steps:
s401: extracting user image data from a camera nearest to a weighing area, analyzing printing trend of a user, and if any user information is obtainedThe printing trend of (1) presents self-service printing, and then step S402 is entered;
s402: extracting commodity label information set U and capturing any user informationCorresponding commodity weight information when the finally selected commodity is weighed, and confirming the type of the commodity selected by the user according to the commodity weight information;
in step S401, according to the user pathDiameter analysis of arbitrary user informationComprises the following steps:
1) When the camera recognizes any user informationWhen the timer is used for carrying out timing photographing treatment, g image data are obtained;
extracting user features from the g image data by using an LBP feature extraction method, and locking spatial position information of a user corresponding to each image data based on user feature distribution obtained by recognition in each image data;
2) Performing linear fitting on the spatial position information obtained from each image data to obtain a linear fitting equation:the method comprises the steps of carrying out a first treatment on the surface of the Wherein v represents the slope of the straight line fitting equation, +.>Representing constant terms; the straight line fitting equation is used as the arbitrary user information +.>Is a motion trajectory equation of (2);
3) Extracting position coordinates of a weighing areaAcquiring position coordinates +.>To straight line->Distance of (2)；
4) Analyzing arbitrary user information based on distance qIs a printing trend of (a): when->In the case of->If the distance error is represented, judging any user information +.>The printing trend of (1) presents self-service printing, and the step S402 is entered; on the contrary, when->If so, the process returns to step S300.
5. The intelligent printer management method based on RFID tag identification according to claim 4, wherein: in step S402, confirming the type of commodity selected by the user and analyzing whether the commodity weighing data is abnormal, comprising the steps of:
1) Acquiring commodity weight w displayed by a weighing machine on a commodity finally selected by a current user; extracting the weight corresponding to each commodity contained in the commodity label information set U, and converging the weight into a corresponding commodity weight set S;
2) Traversing the weight set S, and respectively calculating the average weight of the commodity weight w corresponding to each type of commodity contained in the commodity label information set UThe ratio of: />Respectively obtaining the weight remainder presented between each type of commodity and the commodity weight w contained in the commodity label information set U, and collecting the weight remainder setCombining;
3) Traversing the weight remainder set and judging any weight remainderError with weight->Is the relation of: when->In the case of>Extracting commodity label information of the corresponding commodity, setting the commodity label information as target commodity label information, and entering step S500; on the contrary, if->When the printer cannot identify the commodity type, the system judges any user information +>The commodity printing data is abnormal due to the weighing of the selected commodities of different types, and the process proceeds to step S600.
6. The intelligent printer management method based on RFID tag identification according to claim 5, wherein: in step S500, the method further includes the steps of:
s501: identifying the number of label sheets in the printer: when the number p of the remaining label paper is more than 0, the printer successfully identifies the label paper, and the step S502 is entered; on the contrary, when the remaining number p=0, the printer fails to recognize the label paper, and printing is not allowed, and the process proceeds to step S600;
s502: and extracting corresponding key information from the target commodity label information, identifying key data, performing intelligent self-service printing, changing the number of the remaining label paper into p-1 at the moment, and writing back into the printer label.
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Denomination of invention: A printer intelligent management system and method based on RFID tag recognition

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