CN114254663B - Method, system and medium for preventing misreading of RFID electronic tags on multiple adjacent objects - Google Patents
Method, system and medium for preventing misreading of RFID electronic tags on multiple adjacent objects Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000004913 activation Effects 0.000 claims abstract description 20
- 238000007477 logistic regression Methods 0.000 claims abstract description 14
- 238000012549 training Methods 0.000 claims abstract description 9
- 238000007781 pre-processing Methods 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 4
- 238000002372 labelling Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 229910000831 Steel Inorganic materials 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- 238000013145 classification model Methods 0.000 description 2
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- 238000005516 engineering process Methods 0.000 description 2
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- 238000012545 processing Methods 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
- G06K7/10297—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- 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
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Abstract
The invention provides a method, a system and a medium for preventing misreading of RFID electronic tags on a plurality of adjacent objects, comprising the following steps: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects; setting an activation threshold value for RSSI values of a plurality of RFID electronic tags on the same object; reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags; grouping the preprocessed RSSI values according to the object identification data, and calculating the difference value of the RSSI values in the group; collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training; the object to be identified is distinguished by means of the trained model. According to the invention, a plurality of RFID electronic tags are arranged on one object, the read RSSI value is preprocessed, a logistic regression model is trained, and the object to be identified can be accurately distinguished from the objects with a plurality of adjacent positions by using the trained model.
Description
Technical Field
The invention relates to the technical field of radio frequency identification, in particular to a method, a system and a medium for preventing RFID electronic tags on a plurality of adjacent objects from being misread, and especially relates to a method and a system for distinguishing objects to be identified under a scene that the RFID electronic tags on a plurality of objects are close in distance.
Background
Radio frequency identification (RFID, radio Frequency Identification) is a wireless communication technology that can identify a specific object and read and write related data by radio signals without establishing mechanical or optical contact between the identification system and the specific object. The RFID is generally composed of four parts, namely a reader-writer, an antenna, an electronic tag and an upper application system.
In practical applications of RFID technology, there may be various types of signal reflection and interference due to the complexity and diversity of the field environment. For a given object to be identified, the reader-writer sends a radio frequency signal with a certain frequency through the antenna, and besides receiving the feedback signals of the RFID electronic tags on the object to be identified, the reader-writer also receives the feedback signals of the RFID electronic tags on other similar objects except the object to be identified, so that an upper software system cannot distinguish the object to be identified from other similar objects.
Patent document CN205890295U discloses a radio frequency identification data bag, including data bag body and radio frequency identification body, the data bag body includes first lamellar body and second lamellar body, each side of first lamellar body and second lamellar body seals in order to form the accommodation space, the radio frequency identification body is compound between first lamellar body and second lamellar body, and lie in one of them side of first lamellar body and second lamellar body, the radio frequency identification data bag is when depositing, can realize that the data bag is placed upside down, stagger the position of radio frequency identification body each other, can effectively avoid appearing misreading or reading relevant information, the reading that makes relevant personnel can be accurate when looking for the reading. The technical scheme of the patent document staggers the radio frequency identification body through the upside-down placement of the object so as to avoid the condition of misreading, but the technical scheme cannot be applied to the condition that the object cannot be placed upside down.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method, a system and a medium for preventing the misreading of RFID electronic tags on a plurality of adjacent objects.
The method for preventing the RFID electronic tags on a plurality of adjacent objects from being misread comprises the following steps of:
step one: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects;
step two: setting an activation threshold value for RSSI values of a plurality of RFID electronic tags on the same object;
step three: reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags;
step four: grouping the preprocessed RSSI values according to the identification data of the object, and calculating the difference value of the RSSI values in the group;
step five: repeating the third to fourth steps, collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training;
step six: and distinguishing the object to be identified by using the model trained in the step five.
Preferably, in the first step, a plurality of RFID electronic tags on the same object write the same identification data.
Preferably, in the first step, the distance between the RFID electronic tags mounted on each object is set according to the distance between a group of adjacent objects.
Preferably, in the second step, an activation threshold of RSSI values of a plurality of RFID electronic tags on one object is set according to a distance between a group of adjacent objects.
Preferably, the pretreatment in the third step is specifically: comparing the read RSSI values of all the RFID electronic tags with a set activation threshold, and if the read RSSI values are lower than the set activation threshold, carrying out attenuation treatment on the read RSSI values; if the read RSSI value is higher than the set activation threshold, the read RSSI value is not processed.
Preferably, the decay process employs a Sigmoid function or a variant of a ReLU function.
Preferably, in the fourth step, RSSI values corresponding to RFID electronic tags with the same identification data are grouped, i.e. a plurality of RFID electronic tags on the same object are grouped.
Preferably, in the fifth step, a logistic regression model is trained according to the collected sample data, and misreading identification is performed according to the trained classification model.
The system for preventing the RFID electronic tags on a plurality of adjacent objects from being misread comprises the following modules:
labeling module: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects;
and (3) a reading identification module: setting an activation threshold value for RSSI values of a plurality of RFID electronic tags on the same object; reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags; grouping the preprocessed RSSI values according to the identification data of the object, and calculating the difference value of the RSSI values in the group; collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training; the object to be identified is distinguished by means of the trained model.
According to the invention, a computer readable storage medium is provided, in which a computer program is stored, which when being executed by a processor, implements the steps of the method for preventing misreading of RFID electronic tags on a plurality of adjacent objects.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the RFID electronic tags are arranged on the object, and the read RSSI value is preprocessed, so that the object to be identified can be accurately distinguished from the similar objects with similar positions identified in the identification area.
2. According to the invention, the RSSI value lower than the activation threshold value is subjected to attenuation treatment by adopting an attenuation function, so that the difference value between the RSSI value and the RSSI value read by the RFID electronic tag on the object to be identified is increased, and the probability of false identification is reduced.
3. According to the invention, the sample data of the RSSI values of the RFID electronic tags on the similar objects under different relative positions are collected, the logistic regression model is trained by using the sample data, and finally the objects to be identified are distinguished by using the trained model, so that the identification accuracy is high.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
fig. 1 is a schematic diagram of a frame tag and an antenna according to an embodiment of the invention.
Fig. 2 is a schematic diagram of RSSI decay in accordance with the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
The invention relates to the field of Radio Frequency Identification (RFID) and upper software thereof, in particular to a method and a system for distinguishing objects to be identified under the condition that RFID electronic tags on a plurality of objects are close in distance. Under the condition that similar objects with similar positions are identified in an area by the RFID reader-writer and objects to be identified cannot be distinguished accurately, the invention provides a method and a system.
The method for preventing the RFID electronic tags on a plurality of adjacent objects from being misread, especially when the adjacent objects are close in distance, comprises the following steps of:
step one: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects;
step two: setting an activation threshold for RSSI (Received Signal Strength Indication ) values of a plurality of RFID electronic tags on the same object;
step three: reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags;
step four: grouping the preprocessed RSSI values according to the identification data of the object, and calculating the difference value of the RSSI values in the group;
step five: repeating the third to fourth steps, collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training;
step six: and distinguishing the object to be identified by using the model trained in the step five.
In the first step, a plurality of RFID electronic tags on the same object write the same identification data; the distance between the plurality of RFID electronic tags mounted on each object is set according to the distance between a group of adjacent objects.
In the second step, an activation threshold of the RSSI values of the RFID electronic tags on the one object is set according to the distance between a group of adjacent objects.
The pretreatment in the third step specifically comprises the following steps: comparing the read RSSI values of all the RFID electronic tags with a set activation threshold, and if the read RSSI values are lower than the set activation threshold, carrying out attenuation treatment on the read RSSI values; if the read RSSI value is higher than the set activation threshold, the read RSSI value is not processed. The decay process employs a Sigmoid function or a variant of a ReLU function.
In the fourth step, the RSSI values corresponding to the RFID electronic tags with the same identification data are grouped, i.e., the RFID electronic tags on the same object are grouped.
And step five, training a logistic regression model according to the acquired sample data, and carrying out misreading identification according to the trained classification model. According to the invention, the number of the RFID electronic tags is increased, the RSSI values of the RFID electronic tags are preprocessed, and finally, the logistic regression model is trained by using calibrated sample data, so that the objects to be identified are distinguished, and the identification accuracy is improved.
The system for preventing the RFID electronic tags on a plurality of adjacent objects from being misread comprises the following modules:
labeling module: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects;
and (3) a reading identification module: setting an activation threshold value for RSSI values of a plurality of RFID electronic tags on the same object; reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags; grouping the preprocessed RSSI values according to the identification data of the object, and calculating the difference value of the RSSI values in the group; collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training; the object to be identified is distinguished by means of the trained model.
According to the invention, a computer readable storage medium is provided, in which a computer program is stored, which when being executed by a processor, implements the steps of the method for preventing misreading of RFID electronic tags on a plurality of adjacent objects.
The basic embodiments of the present invention have been described above, and the present invention will be described in more detail below with reference to preferred and/or modified examples of the basic embodiments.
Examples:
in the field of steel logistics, steel coil transportation depends on a heavy-load special frame vehicle, the vehicle is divided into a lower vehicle body and a frame, a gap is formed in a supporting framework on two sides of the frame, and the vehicle body can be opened to the lower part of the frame to lift the frame and the steel coil for mounting. In order to accurately identify the frame, an RFID reader-writer and an antenna are required to be installed on the vehicle body, and an RFID electronic tag is required to be installed on the frame. The parking positions of the frames are not fixed, adjacent frames may be very close together, and radio frequency signals may be transmitted to adjacent frame tags through gaps between the frames, thereby causing misrecognitions. The invention can solve the problem of misidentification of the adjacent frame under the condition that the parking distance of the adjacent frame is too short. A method for preventing misreading of RFID electronic tags on a plurality of nearby (adjacent) objects, in this embodiment, is as follows:
1. 2 RFID electronic tags are installed on each frame, and the same identification data (as shown in figure 1) is written in;
2. according to the field situation, the distance between 2 RFID electronic tags on the same frame is adjusted;
3. acquiring tag RSSI attenuation threshold setting through field experiments;
4. the vehicle-mounted software and the RFID antenna feeder system read all 4 tag data of 2 groups (2 tags on one frame are one group) on the adjacent frames and the corresponding RSSI values thereof;
5. according to the set attenuation threshold, performing attenuation processing on all RSSIs below the threshold (as shown in fig. 2), and not performing any processing on all RSSIs above the threshold, wherein the attenuation function can select a Sigmoid function or a variant of a ReLU function according to conditions;
6. calculating the difference value of RSSIs of 2 tags in the same group;
7. repeating the steps 4-6, collecting a certain number of samples, and substituting the samples into a logistic regression model for training;
8. and in actual deployment, judging by using the trained model.
In the description of the present application, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements being referred to must have a specific orientation, be configured and operated in a specific orientation, and are not to be construed as limiting the present application.
Those skilled in the art will appreciate that the systems, apparatus, and their respective modules provided herein may be implemented entirely by logic programming of method steps such that the systems, apparatus, and their respective modules are implemented as logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc., in addition to the systems, apparatus, and their respective modules being implemented as pure computer readable program code. Therefore, the system, the apparatus, and the respective modules thereof provided by the present invention may be regarded as one hardware component, and the modules included therein for implementing various programs may also be regarded as structures within the hardware component; modules for implementing various functions may also be regarded as being either software programs for implementing the methods or structures within hardware components.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (10)
1. A method for preventing misreading of RFID electronic tags on a plurality of adjacent objects, comprising the steps of:
step one: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects;
step two: setting an activation threshold value for RSSI values of a plurality of RFID electronic tags on the same object;
step three: reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags;
step four: grouping the preprocessed RSSI values according to the identification data of the object, and calculating the difference value of the RSSI values in the group;
step five: repeating the third to fourth steps, collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training;
step six: and distinguishing the object to be identified by using the model trained in the step five.
2. The method according to claim 1, wherein in the first step, the plurality of RFID tags on the same object write the same identification data.
3. The method of claim 1, wherein in the first step, the distance between the plurality of RFID tags mounted on each object is set according to the distance between a group of adjacent objects.
4. The method according to claim 1, wherein in the second step, the activation threshold of the RSSI values of the RFID tags on the one object is set according to the distance between a group of adjacent objects.
5. The method for preventing misreading of RFID tags on a plurality of adjacent objects according to claim 1, wherein the preprocessing in the third step is specifically: comparing the read RSSI values of all the RFID electronic tags with a set activation threshold, and if the read RSSI values are lower than the set activation threshold, carrying out attenuation treatment on the read RSSI values; if the read RSSI value is higher than the set activation threshold, the read RSSI value is not processed.
6. The method of claim 5, wherein the attenuation process uses a Sigmoid function or a variant of a ReLU function.
7. The method for preventing misreading of RFID tags on a plurality of adjacent objects according to claim 1, wherein in the fourth step, RSSI values corresponding to RFID tags with identical identification data are grouped, i.e., a plurality of RFID tags on the same object are grouped.
8. The method for preventing misreading of RFID tags on a plurality of neighboring objects according to claim 1, wherein in the fifth step, a logistic regression model is trained based on the collected sample data, and misreading identification is performed based on the trained model.
9. A system for preventing misreading of RFID electronic tags on a plurality of adjacent objects, comprising the following modules:
labeling module: mounting a plurality of RFID electronic tags on each object of a group of adjacent objects;
and (3) a reading identification module: setting an activation threshold value for RSSI values of a plurality of RFID electronic tags on the same object; reading all RFID electronic tags in a certain area, and preprocessing the RSSI value of the read RFID electronic tags; grouping the preprocessed RSSI values according to the identification data of the object, and calculating the difference value of the RSSI values in the group; collecting a certain number of samples, substituting the collected RSSI values and the corresponding difference values into a logistic regression model for training; the object to be identified is distinguished by means of the trained model.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the method for preventing misreading of RFID electronic tags on a plurality of adjacent objects of any one of claims 1 to 8.
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