CN115470806B - Method and system for judging article entering and exiting direction based on single antenna - Google Patents
Method and system for judging article entering and exiting direction based on single antenna Download PDFInfo
- Publication number
- CN115470806B CN115470806B CN202211114698.0A CN202211114698A CN115470806B CN 115470806 B CN115470806 B CN 115470806B CN 202211114698 A CN202211114698 A CN 202211114698A CN 115470806 B CN115470806 B CN 115470806B
- Authority
- CN
- China
- Prior art keywords
- radio frequency
- rfid
- moving direction
- model
- training
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012549 training Methods 0.000 claims abstract description 57
- 238000010801 machine learning Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 230000008447 perception Effects 0.000 abstract description 6
- 238000010276 construction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
Abstract
The invention discloses a method and a system for judging the direction of article entering and exiting based on a single antenna, wherein the method comprises the following steps: acquiring the characteristic of a radio frequency intensity extremum returned by a plurality of RFID tags moving according to a preset moving direction, wherein the characteristic of the radio frequency intensity extremum is that the plurality of RFID tags receive the characteristic returned by the same RFID antenna for transmitting radio frequency signals outwards; obtaining a training data set based on the radio frequency intensity extremum characteristics returned by the RFID tag according to the preset moving direction; training a preset machine model through a training data set to obtain a trained moving direction judging model; and inputting the radio frequency intensity extremum characteristic returned by the RFID label to be detected into a moving direction judging model, and outputting the moving direction of the RFID label to be detected. The intelligent warehouse management system can judge and determine the warehouse-in and warehouse-out direction of the articles based on the single antenna, and achieves intelligent warehouse non-perception management.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a system for judging article entering and exiting directions based on a single antenna.
Background
Along with the rapid development of the Internet of things, the application scene of the RFID technology is very wide, and the RFID technology is more and more widely popularized and used in the fields of business, industry, education, medical treatment and the like, and particularly has good application in the subdivision fields of logistics, traffic, identity recognition, anti-counterfeiting, asset management and the like. In asset management, particularly in the management of important assets in a warehouse, intelligent management is currently performed through an RFID technology. However, the management of the articles having the RFID tags attached to them for going in and going out of the warehouse is difficult to achieve by using only a single RFID antenna. The direction of article entering and exiting warehouse is confirmed manually, the increased workload is not realized, the non-perception and intelligent management can not be realized, and the management efficiency is reduced.
The method for judging the article in and out of the warehouse mainly solves the judgment of the entrance in and out direction by a double antenna or an infrared induction method at present, so that the direction of the article in and out of the warehouse is confirmed, and the field construction difficulty, the system cost and the system complexity are increased. Therefore, a method for determining the direction of article entering and exiting is performed using a single antenna.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for judging the direction of article entering and exiting based on a single antenna. In the system and the method, the moving direction of the RFID tag is judged through a single antenna, and the in-out direction of the article is determined, so that the intelligent warehouse non-perception management is achieved.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the method for judging the article entering and exiting direction based on the single antenna comprises the following steps:
acquiring the characteristic of a radio frequency intensity extremum returned by a plurality of RFID tags moving according to a preset moving direction, wherein the characteristic of the radio frequency intensity extremum is that the plurality of RFID tags receive the characteristic returned by the same RFID antenna for transmitting radio frequency signals outwards;
obtaining a training data set based on the radio frequency intensity extremum characteristics returned by the RFID tag according to the preset moving direction;
training a preset machine model through a training data set to obtain a trained moving direction judging model;
and inputting the radio frequency intensity extremum characteristic returned by the RFID label to be detected into a moving direction judging model, and outputting the moving direction of the RFID label to be detected.
Preferably, the training the preset machine model through the training data set to obtain a trained moving direction judging model specifically includes the following steps:
inputting a training data set into a machine learning model for prediction to obtain a prediction result of the training data;
and adjusting weight parameters of the machine model according to the comparison result of the prediction result and the real result, and continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judging model.
Preferably, the RFID antenna is disposed on top of the access device.
Preferably, the movement direction comprises two corresponding opposite directions.
The invention also discloses a system for judging the direction of article going in and out of the warehouse based on the single antenna, which comprises a single RFID antenna, a plurality of RFID labels and a processing module connected with the RFID antenna, wherein,
the RFID antenna is used for transmitting radio frequency signals outwards;
the RFID tag is used for receiving the radio frequency signals emitted by the RFID antenna outwards and returning the extreme value characteristic of the radio frequency intensity;
the processing module comprises an acquisition module and a movement direction determination module, wherein,
the acquisition module is used for acquiring the radio frequency intensity extremum characteristics returned by the movement of the RFID tags according to the preset moving direction;
the movement direction determining module is used for obtaining a training data set based on the radio frequency intensity extremum characteristics returned by the RFID tag moving according to the preset movement direction; the method comprises the steps of training a preset machine model through a training data set to obtain a trained moving direction judging model; and the method is used for inputting the radio frequency intensity extremum characteristic returned by the RFID label to be detected into the moving direction judging model and outputting the moving direction of the RFID label to be detected.
Preferably, the movement direction determining module comprises a training module and a determining module, wherein,
the training module is used for inputting a training data set into the machine learning model for prediction so as to obtain a prediction result of the training data;
and the determining module is used for adjusting the weight parameters of the machine model according to the comparison result of the predicted result and the real result, continuing training until the predicted result meets the preset requirement, and taking the current machine model as a trained moving direction judging model.
Preferably, the RFID antenna is disposed on top of the access device.
Preferably, the movement direction comprises two corresponding opposite directions.
Based on the technical scheme, the invention has the beneficial effects that: the intelligent warehouse management system can be widely applied to intelligent warehouses in various industries, the moving direction of the RFID tag is judged through a single antenna, the warehouse-in and warehouse-out direction of the article is determined, the high-value article can be well managed and controlled, the problem that the warehouse-in and warehouse-out management needs manual confirmation is solved, the non-perception warehouse-in and warehouse-out can be realized, and the intelligent warehouse management efficiency is improved. Meanwhile, the deployment cost and the construction cost of the intelligent storeroom can be reduced, and the construction complexity is reduced.
Drawings
FIG. 1 is a flow diagram of a method for determining the direction of entry and exit of an item based on a single antenna in one embodiment;
FIG. 2 is a flow chart of a method for training a movement direction determination model in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, fig. 1 shows a flowchart of a method for determining an article in-out-in-storage direction based on a single antenna, the method for determining an article in-out-storage direction based on a single antenna, the method comprising the steps of:
step S101, acquiring the characteristic of the extreme value of the radio frequency intensity returned by a plurality of RFID tags moving according to the preset moving direction, wherein the characteristic of the extreme value of the radio frequency intensity is that the plurality of RFID tags receive the characteristic returned by the same RFID antenna for transmitting radio frequency signals outwards;
step S102, a training data set is obtained based on the radio frequency intensity extremum characteristics returned by the RFID tag moving according to the preset moving direction;
step S103, training a preset machine model through a training data set to obtain a trained moving direction judging model;
step S104, the radio frequency intensity extremum characteristic returned by the RFID label to be detected is input into the moving direction judging model, and the moving direction of the RFID label to be detected is output.
An RFID antenna is preset at the top of the eave in advance, and the single RFID antenna is controlled to emit radio frequency signals outwards, but the method is not limited to the method, and the single RFID antenna can be arranged at the top of other in-out devices according to actual requirements. The RFID tag is attached to the commodity in advance, commodity data in the system is bound with the EPC code value of the RFID tag, and the direction of the commodity entering and exiting is determined by judging the moving direction of the RDIF tag.
In the system application aiming at the eave type RFID antenna, due to the shielding of a wall body and a storehouse door, the RFID wireless field intensity distribution of the inside and the outside of the door is different, and the characteristic distribution characteristic is presented, so that the characteristic of the extreme value of the radio frequency intensity of the door moving from the inside to the outside is different from the characteristic of the extreme value of the radio frequency intensity of the door moving from the outside to the inside. The training data set is derived based on the radio frequency intensity extremum characteristics returned by the RFID tag moving from the inside to the outside of the door and from the outside to the inside. Based on training a preset machine model through a training data set, a trained moving direction judging model is obtained, and the moving direction of the RFID label to be detected is judged through the moving direction judging model, so that the in-out direction of the article is determined, and the intelligent warehouse non-perception management is achieved.
Referring to fig. 2, fig. 2 shows a flow chart of a training method of a movement direction determination model, and the method specifically includes the following steps:
step S301, inputting a training data set into a machine learning model for prediction to obtain a prediction result of the training data;
and step S302, adjusting weight parameters of the machine model according to the comparison result of the prediction result and the real result, and continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judging model.
In one embodiment, a system for determining the direction of entry and exit of an item based on a single antenna is provided, the system comprising a single RFID antenna, a plurality of RFID tags, and a processing module coupled to the RFID antennas, wherein,
the RFID antenna is used for transmitting radio frequency signals outwards;
the RFID tag is used for receiving the radio frequency signals emitted by the RFID antenna outwards and returning the extreme value characteristic of the radio frequency intensity;
the processing module comprises an acquisition module and a movement direction determination module, wherein,
the acquisition module is used for acquiring the radio frequency intensity extremum characteristics returned by the movement of the RFID tags according to the preset moving direction;
the movement direction determining module is used for obtaining a training data set based on the radio frequency intensity extremum characteristics returned by the RFID tag moving according to the preset movement direction; the method comprises the steps of training a preset machine model through a training data set to obtain a trained moving direction judging model; and the method is used for inputting the radio frequency intensity extremum characteristic returned by the RFID label to be detected into the moving direction judging model and outputting the moving direction of the RFID label to be detected.
An RFID antenna is preset at the top of the eave in advance, and the single RFID antenna is controlled to emit radio frequency signals outwards, but the method is not limited to the method, and the single RFID antenna can be arranged at the top of other in-out devices according to actual requirements. The RFID tag is attached to the commodity in advance, commodity data in the system is bound with the EPC code value of the RFID tag, and the direction of the commodity entering and exiting is determined by judging the moving direction of the RDIF tag.
In the system application aiming at the eave type RFID antenna, due to the shielding of a wall body and a storehouse door, the RFID wireless field intensity distribution of the inside and the outside of the door is different, and the characteristic distribution characteristic is presented, so that the characteristic of the extreme value of the radio frequency intensity of the door moving from the inside to the outside is different from the characteristic of the extreme value of the radio frequency intensity of the door moving from the outside to the inside. The training data set is derived based on the radio frequency intensity extremum characteristics returned by the RFID tag moving from the inside to the outside of the door and from the outside to the inside. Based on training a preset machine model through a training data set, a trained moving direction judging model is obtained, and the moving direction of the RFID label to be detected is judged through the moving direction judging model, so that the in-out direction of the article is determined, and the intelligent warehouse non-perception management is achieved.
In one embodiment of the system for determining the direction of the article going in and out of the warehouse based on a single antenna, the moving direction determining module comprises a training module and a determining module, wherein,
the training module is used for inputting a training data set into the machine learning model for prediction so as to obtain a prediction result of the training data;
and the determining module is used for adjusting the weight parameters of the machine model according to the comparison result of the predicted result and the real result, continuing training until the predicted result meets the preset requirement, and taking the current machine model as a trained moving direction judging model.
The foregoing is merely a preferred embodiment of the present application and is not intended to limit the embodiment of the present application, and various modifications and variations may be made to the embodiment of the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the protection scope of the embodiments of the present application.
Claims (8)
1. The method for judging the article entering and exiting direction based on the single antenna is characterized by comprising the following steps:
acquiring the characteristic of a radio frequency intensity extremum returned by a plurality of RFID tags moving according to a preset moving direction, wherein the characteristic of the radio frequency intensity extremum is that the plurality of RFID tags receive the characteristic returned by the same RFID antenna for transmitting radio frequency signals outwards;
obtaining a training data set based on the radio frequency intensity extremum characteristics returned by the RFID tag according to the preset moving direction;
training a preset machine model through a training data set to obtain a trained moving direction judging model;
and inputting the radio frequency intensity extremum characteristic returned by the RFID label to be detected into a moving direction judging model, and outputting the moving direction of the RFID label to be detected.
2. The method for determining the direction of article entering and exiting based on a single antenna according to claim 1, wherein the training of the preset machine model by the training data set to obtain a trained moving direction determination model specifically comprises the following steps:
inputting a training data set into a machine learning model for prediction to obtain a prediction result of the training data;
and adjusting weight parameters of the machine model according to the comparison result of the prediction result and the real result, and continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judging model.
3. The system for determining the direction of entry and exit of an item based on a single antenna of claim 1, wherein the RFID antenna is disposed on top of an entry and exit device.
4. The method of determining the direction of entry and exit of an article based on a single antenna of claim 1, wherein the direction of movement comprises two corresponding opposite directions.
5. The system for judging the article warehouse-in and warehouse-out direction based on the single antenna is characterized by comprising a single RFID antenna, a plurality of RFID tags and a processing module connected with the RFID antenna, wherein,
the RFID antenna is used for transmitting radio frequency signals outwards;
the RFID tag is used for receiving the radio frequency signals emitted by the RFID antenna outwards and returning the extreme value characteristic of the radio frequency intensity;
the processing module comprises an acquisition module and a movement direction determination module, wherein,
the acquisition module is used for acquiring the radio frequency intensity extremum characteristics returned by the movement of the RFID tags according to the preset moving direction;
the movement direction determining module is used for obtaining a training data set based on the radio frequency intensity extremum characteristics returned by the RFID tag moving according to the preset movement direction; the method comprises the steps of training a preset machine model through a training data set to obtain a trained moving direction judging model; and the method is used for inputting the radio frequency intensity extremum characteristic returned by the RFID label to be detected into the moving direction judging model and outputting the moving direction of the RFID label to be detected.
6. The system for determining the direction of entry and exit of an item based on a single antenna according to claim 5, wherein the movement direction determination module comprises a training module and a determination module, wherein,
the training module is used for inputting a training data set into the machine learning model for prediction so as to obtain a prediction result of the training data;
and the determining module is used for adjusting the weight parameters of the machine model according to the comparison result of the predicted result and the real result, continuing training until the predicted result meets the preset requirement, and taking the current machine model as a trained moving direction judging model.
7. The system for determining the direction of entry and exit of an item based on a single antenna of claim 5, wherein the RFID antenna is disposed on top of an entry and exit device.
8. The system for determining the direction of entry and exit of an item based on a single antenna of claim 5, wherein the direction of movement comprises two corresponding opposite directions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211114698.0A CN115470806B (en) | 2022-09-14 | 2022-09-14 | Method and system for judging article entering and exiting direction based on single antenna |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211114698.0A CN115470806B (en) | 2022-09-14 | 2022-09-14 | Method and system for judging article entering and exiting direction based on single antenna |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115470806A CN115470806A (en) | 2022-12-13 |
| CN115470806B true CN115470806B (en) | 2024-02-02 |
Family
ID=84333121
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211114698.0A Active CN115470806B (en) | 2022-09-14 | 2022-09-14 | Method and system for judging article entering and exiting direction based on single antenna |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115470806B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114580455A (en) * | 2022-02-28 | 2022-06-03 | 上海优咔网络科技有限公司 | RFID label moving direction judging method and system based on artificial intelligence |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019032428A1 (en) * | 2017-08-09 | 2019-02-14 | SWFL, Inc., d/b/a "Filament" | Systems and methods for physical detection using radio frequency noise floor signals and deep learning techniques |
-
2022
- 2022-09-14 CN CN202211114698.0A patent/CN115470806B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114580455A (en) * | 2022-02-28 | 2022-06-03 | 上海优咔网络科技有限公司 | RFID label moving direction judging method and system based on artificial intelligence |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115470806A (en) | 2022-12-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101597199B1 (en) | Rfid portal system with rfid tags having various read ranges | |
| CN104504552B (en) | A kind of warehousing and storage activities apparatus and method based on RFID technique | |
| Casella et al. | The evolution of RFID technology in the logistics field: a review | |
| CN106952037A (en) | Precast concrete RFID management system and its management method | |
| Shen et al. | Research on Application of Internet of Things in Electronic commerce | |
| CN113611027A (en) | Warehouse-out detection method, system, equipment and readable storage medium | |
| US9552539B2 (en) | Selectively addressing transponders | |
| CN105354521A (en) | BP neural network-based RFID label distribution optimum configuration method | |
| CN115470806B (en) | Method and system for judging article entering and exiting direction based on single antenna | |
| CN210428502U (en) | Access library management system based on RFID technology | |
| CN103337018A (en) | Logistics management system based on RFID (radio frequency identification device) electronic tags | |
| Tsalapati et al. | Enhancing RFID system configuration through semantic modelling | |
| Khanam et al. | Improvement of RFID tag detection using smart antenna for tag based school monitoring system | |
| Fujisaki | Evaluation of table type reader for 13.56 MHz RFID system considering distance between reader and tag | |
| Li | Automatic identification management of goods in warehouse logistics based on RFID technology | |
| Dwivedi et al. | Rfid technology based attendance management system | |
| KR102465523B1 (en) | Apparatus and method for avoiding cross reading of rfid using visible light recognition | |
| Yu et al. | Optimal Distribution of Radio Frequency Identification (RFID) Multiple Tags Based on a Support Vector Machine (SVM) and Laser Ranging. | |
| Li | Safety Management of Assembled Construction Site Based on Internet of Things Technology | |
| Astafiev et al. | Dvelopment the algorithm of positioning industrial wares in-plant based on radio frequency identification for the products tracking systems | |
| CN113408310A (en) | Data processing method and device, electronic equipment and computer readable storage medium | |
| Ahmed et al. | Impact of RFID and Xbee Communication Network on Supply Chain Management | |
| Yu et al. | Internet of Things and its application in intelligent logistics | |
| CN216450090U (en) | On-vehicle storage perception system of electric power material based on internet of things | |
| US20240040539A1 (en) | System and Method for Automated and Dynamic Location Tracking |
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 |