CN113420577A - Automatic identification method for raw tobacco frame basket based on vehicle-mounted RFID reader - Google Patents
Automatic identification method for raw tobacco frame basket based on vehicle-mounted RFID reader Download PDFInfo
- Publication number
- CN113420577A CN113420577A CN202110827102.0A CN202110827102A CN113420577A CN 113420577 A CN113420577 A CN 113420577A CN 202110827102 A CN202110827102 A CN 202110827102A CN 113420577 A CN113420577 A CN 113420577A
- Authority
- CN
- China
- Prior art keywords
- basket
- judging
- rfid reader
- writer
- determined
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 241000208125 Nicotiana Species 0.000 title claims abstract description 21
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 21
- 239000002184 metal Substances 0.000 claims description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000012163 sequencing technique Methods 0.000 abstract description 2
- 238000012360 testing method Methods 0.000 description 5
- 235000019504 cigarettes Nutrition 0.000 description 4
- 230000001186 cumulative effect Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 2
- 230000001174 ascending effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/067—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components
- G06K19/07—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips
- G06K19/0723—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips the record carrier comprising an arrangement for non-contact communication, e.g. wireless communication circuits on transponder cards, non-contact smart cards or RFIDs
-
- 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
- G06K7/10316—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 using at least one antenna particularly designed for interrogating the wireless record carriers
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Toxicology (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Electromagnetism (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- Forklifts And Lifting Vehicles (AREA)
Abstract
The invention discloses a method for automatically identifying a raw tobacco basket based on a vehicle-mounted RFID reader-writer, which is characterized by obtaining all basket RFID tag numbers, reading time, signal strength and reading times read in the current conveying task of a forklift, sequencing according to the accumulated signal strength and the accumulated reading times, thus quickly determining a first target basket, then adopting a three-wheel judging mechanism, obtaining three judging results according to the signal strength of the sequenced one-digit RFID number, the standard deviation thereof, the reading times and the reading time, and finally fusing the three judging results to determine whether the basket corresponding to the sequenced one-digit RFID tag is one of the target baskets. The method and the device realize accurate identification of the baskets in actual transportation under complex environments such as moving, lifting operation, multiple interferences and the like, effectively improve the identification accuracy of the vehicle-mounted RFID reader-writer under the complex environment, reduce the complexity of manual operation, improve the working efficiency and be beneficial to ensuring timely and accurate tracking of basket information.
Description
Technical Field
The invention relates to the field of cigarette manufacturing, in particular to a method for automatically identifying a raw cigarette basket based on a vehicle-mounted RFID reader-writer.
Background
In the process of raw tobacco storage, the basket is widely used as an important raw tobacco loading tool. The RFID label on the basket is used for material tracking and management as an important information carrier, and a fixed or handheld RFID reader-writer is mostly adopted for identifying the RFID label of the basket at present. However, in the actual operation process, due to the fact that the height of the basket pile is high (3-6 m) and the metal interference characteristic of the RFID tag, the identification of the high-position basket is difficult to operate, and the operation efficiency is low. Specifically, the conventional handheld and fixed RFID readers for recognizing the raw tobacco baskets have at least the following disadvantages: due to the fact that the basket pile is high, operation cannot be conducted through a fixed RFID reader-writer, and manual ascending operation exists by adopting a handheld RFID reader-writer, so that the problems of low efficiency, potential safety hazards and the like exist; in addition, a large number of baskets are stacked in the basket stacking area in the original tobacco warehouse, each basket is provided with two RFID tags, the existing RFID reader-writer is poor in multi-interference environment adaptability around, the identification mode is only simple logic judgment of the equipment, and accurate judgment and identification cannot be achieved.
The traditional mode can be replaced by installing the vehicle-mounted RFID reader-writer on the high-position forklift, but the vehicle-mounted RFID reader-writer is installed on the forklift and can move and lift along with the forklift, so that specific problems are introduced, for example, interference factors are more, and the situations of misreading, inaccurate identification and the like cannot be avoided.
Disclosure of Invention
In view of the above, the invention aims to provide an automatic identification method for a raw tobacco basket based on a vehicle-mounted RFID reader, so as to solve the problem that the identification of a target basket actually transported is not accurate.
The technical scheme adopted by the invention is as follows:
a method for automatically identifying a raw tobacco basket based on a vehicle-mounted RFID reader-writer comprises the following steps:
storing all the RFID tag numbers, reading time, signal strength and reading times of the baskets collected in the current conveying task of the forklift into a preset first array list;
taking out all nonrepetitive basket RFID tag numbers in the first array list as candidate numbers;
obtaining the accumulated reading times and the accumulated signal strength corresponding to each candidate number, and performing descending arrangement on the candidate numbers according to the accumulated reading times and the accumulated signal strength to generate a second array list;
determining baskets corresponding to the candidate numbers with the first ranking order in the second array list as target baskets;
obtaining a first judging result according to the relation between the accumulated reading times and the accumulated signal strength of the undetermined candidate number arranged at the next position in the second array list and a preset reading time threshold value and a preset signal strength threshold value;
obtaining a second judging result according to the time difference between the last reading time of the candidate number to be determined and the last candidate number determined as the target basket;
obtaining a third judging result according to the relation between the signal intensity standard deviation corresponding to the candidate number to be determined and a preset standard deviation threshold value;
and comprehensively analyzing by using the first, second and third judging results to judge whether the basket corresponding to the candidate number to be determined is the target basket.
In at least one possible implementation manner, the manner of obtaining the first judgment result includes:
and judging whether the accumulated reading times and the accumulated signal strength of the candidate number to be determined are greater than a preset reading time threshold value and a preset signal strength threshold value or not, and if so, judging that the candidate number to be determined is valid.
In at least one possible implementation manner, the manner of obtaining the second judgment result includes:
and judging whether the time difference is smaller than a preset time difference threshold value, if so, judging that the candidate number to be determined is valid.
In at least one possible implementation manner, the manner of obtaining the third judgment result includes:
and judging whether the signal intensity standard deviation is smaller than the standard deviation threshold value, if so, judging that the candidate number to be determined is valid.
In at least one possible implementation manner, the performing the comprehensive analysis by using the first, second, and third studying results includes:
judging the number of effective judging results of the candidate number to be determined according to the three judging results, and deciding whether the basket corresponding to the candidate number to be determined is a target basket or not; and/or the presence of a gas in the gas,
and carrying out weighted summation on the three judging results according to preset weights to obtain judging scores, and deciding whether the basket corresponding to the candidate number to be determined is a target basket or not according to the judging scores.
In at least one possible implementation manner, basic parameters of the RFID reader/writer mounted on the forklift are set in advance based on an actual loading/unloading scene.
In at least one possible implementation manner, the basic parameters include a baseband rate of the RFID reader and an antenna port power.
In at least one possible implementation manner, the basic parameters further include one or more of the following: the calibration distance between the reader-writer and the RFID label of the basket and the metal resistance of the RFID reader-writer.
The invention has the conception that the RFID label numbers, the reading time, the signal intensity and the reading times of all baskets read in the current conveying task of the forklift are obtained, and sequencing is carried out according to the accumulated signal intensity and the accumulated reading times, so that a first target basket can be rapidly determined, then a three-wheel judging mechanism is adopted, three judging results are obtained according to the signal intensity of the sequenced one-bit RFID number, the standard deviation thereof, the reading times and the reading time, and finally the three judging results are fused to decide whether the basket corresponding to the sequenced one-bit RFID label is one of the target baskets. The method and the device realize accurate identification of the baskets in actual transportation under complex environments such as moving, lifting operation, multiple interferences and the like, effectively improve the identification accuracy of the vehicle-mounted RFID reader-writer under the complex environment, reduce the complexity of manual operation, improve the working efficiency and be beneficial to ensuring timely and accurate tracking of basket information.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of a method for automatically identifying a raw tobacco basket based on a vehicle-mounted RFID reader according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The invention provides an embodiment of a method for automatically identifying a raw tobacco basket based on a vehicle-mounted RFID reader-writer, wherein the vehicle-mounted RFID reader-writer is an RFID reader-writer arranged on a forklift, and the method specifically comprises the following steps:
and S1, storing all the RFID tag numbers, reading time, signal strength and reading times of the baskets collected in the current conveying task of the forklift into a preset first array list.
And step S2, taking out all nonrepeating basket RFID label numbers in the first array list as candidate numbers.
Step S3, obtaining the cumulative number of readings and the cumulative signal strength corresponding to each candidate number, and sorting the candidate numbers in descending order according to the cumulative number of readings and the cumulative signal strength to generate a second array list.
Step S4, determining the basket corresponding to the candidate number with the first ranking order in the second array list as the target basket.
Step S5, obtaining a first judgment result according to the relationship between the accumulated reading times and the accumulated signal strength of the pending candidate number ranked next in the second array list and the preset reading times threshold and signal strength threshold.
And step S6, obtaining a second judgment result according to the time difference between the undetermined candidate number and the last candidate number which is determined as the target basket.
And step S7, obtaining a third judgment result according to the relation between the signal strength standard deviation corresponding to the candidate number to be determined and a preset standard deviation threshold value.
Step S8, performing comprehensive analysis by using the first, second, and third results to determine whether the basket corresponding to the candidate number to be determined is the target basket.
Further, the manner of obtaining the first judgment result includes:
and judging whether the accumulated reading times and the accumulated signal strength of the candidate number to be determined are greater than a preset reading time threshold value and a preset signal strength threshold value or not, and if so, judging that the candidate number to be determined is valid.
Further, the manner of obtaining the second judgment result includes:
and judging whether the time difference is smaller than a preset time difference threshold value, if so, judging that the candidate number to be determined is valid.
Further, the manner of obtaining the third judgment result includes:
and judging whether the signal intensity standard deviation is smaller than the standard deviation threshold value, if so, judging that the candidate number to be determined is valid.
Further, the performing the comprehensive analysis by using the first, second, and third studying results includes:
judging the number of effective judging results of the candidate number to be determined according to the three judging results, and deciding whether the basket corresponding to the candidate number to be determined is a target basket or not; and/or the presence of a gas in the gas,
and carrying out weighted summation on the three judging results according to preset weights to obtain judging scores, and deciding whether the basket corresponding to the candidate number to be determined is a target basket or not according to the judging scores.
Further, basic parameters of the RFID reader/writer mounted on the forklift are set in advance based on the actual loading/unloading scene.
Further, the basic parameters include a baseband rate of the RFID reader and an antenna port power.
Further, the basic parameters further include one or more of the following: the calibration distance between the reader-writer and the RFID label of the basket and the metal resistance of the RFID reader-writer.
To facilitate an understanding of the above embodiments and their preferred versions, a schematic description is provided herein:
after the tobacco packages are unloaded and loaded into the frame baskets by the automatic unloading line, the oil board is used for conveying the frame baskets to the unloading buffer area frame by frame, then the tobacco packages are conveyed to the storage battery car conveying area by a forklift, and finally the storage battery car is used for conveying the frame baskets to be warehoused.
In practical applications, the two frames are generally transported one time by stacking together when transporting the forklift, and in a few cases (for example, only one frame is left in the currently transportable baskets), only one frame is transported, which is used as an illustrative example hereinafter.
Specifically, multiple tests may be performed in a real complex environment in advance, and basic parameters of the RFID reader mounted on the forklift may be set, such as but not limited to adjusting a distance between the RFID reader and the basket RFID tag, setting a frequency, strength, and metal resistance of the RFID reader, so that the reader can recognize all information of the basket RFID tag. In actual operation, the setting of the reader-writer can be changed through configuration software of the RFID reader-writer so as to adapt to the operation environment of the unloading field, wherein two parameter setting examples which are closely related to the scene of the invention, namely the baseband rate of the reader-writer and the power of an antenna port, are provided.
(1) The actual effect of reading and writing can be changed by changing the configuration of the baseband parameters, the original baseband rate provides various options, and a fast reading mode (Tari 25us, Miller4, LHF 320 KHz; 255/AUTO) is optimized through multiple rounds of tests combined with actual loading and unloading scenes, so that the reading capability of the unloading field on the RFID tags of the baskets is improved.
(2) Generally, the antenna port power is from 1 to 33, the larger the value, the stronger the power. However, in combination with the practical scenario of the present invention, since the basket of the forklift may have a distance from the forklift when the forklift works, the antenna power value is set too small to be read, and if the antenna power value is set too large to be read, too many irrelevant RFID chips, such as the aforementioned multiple tags stacked on other baskets, are read, and similarly, through multiple tests in the practical scenario, the antenna power is preferably set to 28, and the detection effect under this value is relatively ideal and more suitable for the application environment of the present invention.
In the basket conveying process of the forklift, information such as the collected basket RFID tag number, reading time, signal strength, reading times and the like is added into a preset first array list to serve as RFID initial information.
According to the RFID initial information, which of all RFID tags collected by a reader-writer on the forklift in the task is a target basket is judged, namely the basket actually transported by the forklift in the task, and other collected tags can be considered as interference items, namely invalid baskets (not belonging to the basket transported at this time).
In actual operation, all non-repetitive frame basket RFID tag numbers in the first array list may be taken out, accumulated reading times, accumulated signal strength, Standard Deviation (Standard development) and the like corresponding to the candidate frame basket RFID tag numbers may be counted in sequence, and the candidate frame basket RFID tag numbers may be sorted in descending order according to the accumulated reading times and the accumulated signal strength to generate the second array list.
Since the distance between the basket loaded by the forklift and the reader-writer on the forklift is necessarily the closest (most) in the whole forklift transportation process, the approximate rate of the basket in the first ranking (i.e. the candidate basket RFID tag number with the largest accumulated reading times and accumulated signal strength) in the second array list can be determined as one of the target baskets forked by the forklift, and the target basket is the basket actually transported in the transportation task.
As to whether the basket of the candidate basket RFID tag number located at the second position in the second array list is one of the target baskets forked by the forklift, further comprehensive judgment needs to be performed: (the actual transportation frame number of the forklift truck in the task can be determined according to the research and judgment result)
In the first judging mode, whether the accumulated reading times and the accumulated signal strength corresponding to the candidate basket RFID tag number sorting the second place exceed preset thresholds (reading time threshold and signal strength threshold) or not can be judged, and if the accumulated reading times and the accumulated signal strength exceed the two thresholds, it is determined that the candidate basket RFID tag number sorting the second place is valid, and may be considered as one of the target baskets, otherwise, it is invalid. However, in order to avoid misjudgment, the invention also introduces another judging mode:
and judging whether the difference value between the last reading time of the candidate basket RFID tag number with the second order and the last reading time of the candidate basket RFID tag number with the first order is within a preset time difference range or not by a second judging mode. This is considered that, in the actual transportation work of the forklift, although the time interval between the forking of the first frame and the forking of the second frame may be different, when the forklift is transported to the frame placing place to unload the two frames of cigarettes, the two frames transported by the same forklift are necessarily placed together, so that the RFID tags of the two frames should be within the reading range of the reader-writer, and the last reading time of the two RFID tags is not far away. On the contrary, if the time difference between the last time reading time of the two frames exceeds the threshold value, the fact that the second basket does not exist in the transportation task is indicated, and the forklift only loads and unloads one frame of cigarette at this time. On the basis of the two types of study, further, the invention also introduces a third study and judgment mode:
and judging whether the standard deviation of the signal intensity of the candidate basket RFID label number ranked at the second position is greater than a preset standard deviation threshold value or not. The Standard Deviation (Standard development) indicates the degree of dispersion of a set of data, and since the position of the basket from the reader/writer is relatively fixed after the basket is fork-lifted by the forklift, the signal strength read each time should not be greatly different, i.e. finally the Standard Deviation of the signal strength of the basket should not be large, and if the Standard Deviation is larger than the Standard Deviation threshold, the basket can be considered invalid.
It should be noted that the relevant thresholds involved in the above processes can be obtained by performing multiple tests on the loading and unloading site, and are not limited to fixed values, and these thresholds can be adjusted and modified as needed at a later stage.
And finally, integrating the conclusions of the three studying and judging modes to obtain a comprehensive conclusion, namely whether the baskets corresponding to the RFID label numbers of the subsequent candidate baskets are target baskets.
The specific fusion mode has various choices, for example, if the three-wheel judgment is effective, the basket is determined as the target basket; or at least two of the three rounds of study and judgment are effective, and the target basket can be determined; and setting weights for three-wheel study and judgment based on actual scenes and pre-test, and using the weighted sum score as a basis for determining the target basket.
In summary, the idea of the present invention is to obtain all basket RFID tag numbers, reading times, signal strengths, and reading times read in the current transporting task of the forklift, and sort according to the accumulated signal strength and the accumulated reading times, so as to quickly determine a first target basket, then use a three-wheel judging mechanism to obtain three judging results according to the signal strength of the sorted one-digit RFID number, the standard deviation thereof, the reading times, and finally fuse the three judging results to decide whether the basket corresponding to the sorted one-digit RFID tag is one of the target baskets. The method and the device realize accurate identification of the baskets in actual transportation under complex environments such as moving, lifting operation, multiple interferences and the like, effectively improve the identification accuracy of the vehicle-mounted RFID reader-writer under the complex environment, reduce the complexity of manual operation, improve the working efficiency and be beneficial to ensuring timely and accurate tracking of basket information.
In the embodiments of the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, and means that there may be three relationships, for example, a and/or B, and may mean that a exists alone, a and B exist simultaneously, and B exists alone. Wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
The structure, features and effects of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the above embodiments are merely preferred embodiments of the present invention, and it should be understood that technical features related to the above embodiments and preferred modes thereof can be reasonably combined and configured into various equivalent schemes by those skilled in the art without departing from and changing the design idea and technical effects of the present invention; therefore, the invention is not limited to the embodiments shown in the drawings, and all the modifications and equivalent embodiments that can be made according to the idea of the invention are within the scope of the invention as long as they are not beyond the spirit of the description and the drawings.
Claims (8)
1. A method for automatically identifying a raw tobacco basket based on a vehicle-mounted RFID reader-writer is characterized by comprising the following steps:
storing all the RFID tag numbers, reading time, signal strength and reading times of the baskets collected in the current conveying task of the forklift into a preset first array list;
taking out all nonrepetitive basket RFID tag numbers in the first array list as candidate numbers;
obtaining the accumulated reading times and the accumulated signal strength corresponding to each candidate number, and performing descending arrangement on the candidate numbers according to the accumulated reading times and the accumulated signal strength to generate a second array list;
determining baskets corresponding to the candidate numbers with the first ranking order in the second array list as target baskets;
obtaining a first judging result according to the relation between the accumulated reading times and the accumulated signal strength of the undetermined candidate number arranged at the next position in the second array list and a preset reading time threshold value and a preset signal strength threshold value;
obtaining a second judging result according to the time difference between the last reading time of the candidate number to be determined and the last candidate number determined as the target basket;
obtaining a third judging result according to the relation between the signal intensity standard deviation corresponding to the candidate number to be determined and a preset standard deviation threshold value;
and comprehensively analyzing by using the first, second and third judging results to judge whether the basket corresponding to the candidate number to be determined is the target basket.
2. The automatic identification method for the raw tobacco baskets based on the vehicle-mounted RFID reader-writer according to claim 1, characterized in that the manner of obtaining the first judgment result comprises:
and judging whether the accumulated reading times and the accumulated signal strength of the candidate number to be determined are greater than a preset reading time threshold value and a preset signal strength threshold value or not, and if so, judging that the candidate number to be determined is valid.
3. The automatic identification method for the raw tobacco baskets based on the vehicle-mounted RFID reader-writer according to claim 1, characterized in that the manner of obtaining the second judgment result comprises:
and judging whether the time difference is smaller than a preset time difference threshold value, if so, judging that the candidate number to be determined is valid.
4. The automatic identification method for the raw tobacco baskets based on the vehicle-mounted RFID reader-writer according to claim 1, characterized in that the manner of obtaining the third judgment result comprises:
and judging whether the signal intensity standard deviation is smaller than the standard deviation threshold value, if so, judging that the candidate number to be determined is valid.
5. The automatic identification method for the raw tobacco baskets based on the vehicle-mounted RFID reader-writer according to claim 1, characterized in that the comprehensive analysis by using the first, second and third judgment results comprises:
judging the number of effective judging results of the candidate number to be determined according to the three judging results, and deciding whether the basket corresponding to the candidate number to be determined is a target basket or not; and/or the presence of a gas in the gas,
and carrying out weighted summation on the three judging results according to preset weights to obtain judging scores, and deciding whether the basket corresponding to the candidate number to be determined is a target basket or not according to the judging scores.
6. The method for automatically identifying a raw tobacco basket based on a vehicle-mounted RFID reader-writer according to any one of claims 1 to 5, characterized in that basic parameters of the RFID reader-writer mounted on a forklift are set in advance based on an actual loading and unloading scene.
7. The automatic identification method for the raw tobacco baskets based on the vehicle-mounted RFID reader-writer according to claim 6, characterized in that the basic parameters comprise the base band rate of the RFID reader-writer and the power of an antenna port.
8. The automatic identification method for the raw tobacco baskets based on the vehicle-mounted RFID reader-writer according to claim 7, characterized in that the basic parameters further comprise one or more of the following: the calibration distance between the reader-writer and the RFID label of the basket and the metal resistance of the RFID reader-writer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110827102.0A CN113420577B (en) | 2021-07-21 | 2021-07-21 | Automatic identification method for raw tobacco frame basket based on vehicle-mounted RFID reader |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110827102.0A CN113420577B (en) | 2021-07-21 | 2021-07-21 | Automatic identification method for raw tobacco frame basket based on vehicle-mounted RFID reader |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113420577A true CN113420577A (en) | 2021-09-21 |
| CN113420577B CN113420577B (en) | 2022-08-16 |
Family
ID=77718028
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110827102.0A Active CN113420577B (en) | 2021-07-21 | 2021-07-21 | Automatic identification method for raw tobacco frame basket based on vehicle-mounted RFID reader |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113420577B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120319821A1 (en) * | 2010-02-18 | 2012-12-20 | Nokia Corporation | Method and Apparatus for Discrimination of RFID Tags |
| US20130169417A1 (en) * | 2011-12-28 | 2013-07-04 | Fujitsu Limited | Rfid tag reader, rfid tag reading system, method for performing rfid tag reading process and computer-readable recording medium |
| CN103226685A (en) * | 2013-05-10 | 2013-07-31 | 智坤（江苏）半导体有限公司 | Method for improving radio frequency identification (RFID) tag reading success rate |
| CN108734512A (en) * | 2018-05-03 | 2018-11-02 | 北京星网锐捷网络技术有限公司 | A kind of article attention rate processing method, equipment, system and storage medium |
| CN110077865A (en) * | 2019-03-27 | 2019-08-02 | 河南中烟工业有限责任公司 | A kind of automatic de-stacking code-disc method based on RFID |
| CN112258133A (en) * | 2020-11-19 | 2021-01-22 | 昆明昆船逻根机场系统有限公司 | RFID technology-based luggage tracking and identifying system and method |
-
2021
- 2021-07-21 CN CN202110827102.0A patent/CN113420577B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120319821A1 (en) * | 2010-02-18 | 2012-12-20 | Nokia Corporation | Method and Apparatus for Discrimination of RFID Tags |
| US20130169417A1 (en) * | 2011-12-28 | 2013-07-04 | Fujitsu Limited | Rfid tag reader, rfid tag reading system, method for performing rfid tag reading process and computer-readable recording medium |
| CN103226685A (en) * | 2013-05-10 | 2013-07-31 | 智坤（江苏）半导体有限公司 | Method for improving radio frequency identification (RFID) tag reading success rate |
| CN108734512A (en) * | 2018-05-03 | 2018-11-02 | 北京星网锐捷网络技术有限公司 | A kind of article attention rate processing method, equipment, system and storage medium |
| CN110077865A (en) * | 2019-03-27 | 2019-08-02 | 河南中烟工业有限责任公司 | A kind of automatic de-stacking code-disc method based on RFID |
| CN112258133A (en) * | 2020-11-19 | 2021-01-22 | 昆明昆船逻根机场系统有限公司 | RFID technology-based luggage tracking and identifying system and method |
Non-Patent Citations (2)
| Title |
|---|
| 杨斐等: "卷烟物流管理中超高频RFID防碰撞技术研究", 《物联网技术》 * |
| 王彬等: "RFID技术在烟草仓储物流管理中的应用研究", 《物联网技术》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113420577B (en) | 2022-08-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106529867B (en) | Warehouse entry and exit management system and method | |
| US20060250109A1 (en) | Classification and collection method and identification method for batteries | |
| US20130009751A1 (en) | Method for updating firmware and communication unit | |
| CN101966521B (en) | Based on the power battery pack high capacity battery automatic sieving system of technology of Internet of things | |
| Keller et al. | Using low-level reader data to detect false-positive RFID tag reads | |
| US20140292497A1 (en) | Method and Read/Write Device for Detecting, Selecting and Reporting at least one of a Plurality of Contactlessly Readable Transponders | |
| US20100207729A1 (en) | Method and system for testing rfid tags | |
| US20130060725A1 (en) | Judgment apparatus, judgment system, and judgment method | |
| CN108698761A (en) | Handling object identifying system, handling object recognition methods and handling object recognizer | |
| CN113420577B (en) | Automatic identification method for raw tobacco frame basket based on vehicle-mounted RFID reader | |
| CN114971487A (en) | Order sorting method, device, equipment and storage medium | |
| CN106966098B (en) | A kind of grain based on RFID technique goes out to be put in storage method and system | |
| CN111891611B (en) | Intelligent warehousing distribution system, method and device and readable storage medium | |
| CN112926713A (en) | Cargo checking system and method based on AGV and WMS system | |
| CN112934748A (en) | Automatic warehouse logistics sorting system based on artificial intelligence and control method | |
| CN112307782A (en) | Method for positioning storage shelf articles by radio frequency identification | |
| KR20050066789A (en) | The automatic system for managing of distribution using rfid | |
| CN111931525A (en) | Method for positioning storage shelf articles by radio frequency identification | |
| JP2020100472A (en) | Transported cargo identification device | |
| CN114881467A (en) | Machine vision-based intelligent loading and unloading control management system for stored goods | |
| CN115518893A (en) | Intelligent logistics cargo sorting system based on data analysis | |
| Silapunt et al. | Design and development of the smart object for the IoT-enabled smart warehouse | |
| JP2009075728A (en) | Radio tag reading device and its reading method | |
| CN114596033A (en) | Intelligent logistics planning monitoring method and system based on deep learning | |
| TWI501341B (en) | System for automatically identifying positions of trays of semiconductor products and method therefor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |