CN115470806A - Method and system for judging direction of goods entering and exiting warehouse based on single antenna - Google Patents

Method and system for judging direction of goods entering and exiting warehouse based on single antenna Download PDF

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CN115470806A
CN115470806A CN202211114698.0A CN202211114698A CN115470806A CN 115470806 A CN115470806 A CN 115470806A CN 202211114698 A CN202211114698 A CN 202211114698A CN 115470806 A CN115470806 A CN 115470806A
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moving direction
radio frequency
rfid
model
training data
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CN115470806B (en
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付衍
汪家胜
顾天朔
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Jiayuan Technology Co Ltd
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Abstract

The invention discloses a method and a system for judging the direction of goods entering and exiting a warehouse based on a single antenna, wherein the method comprises the following steps: acquiring radio frequency intensity extreme value characteristics returned by a plurality of RFID tags moving according to a preset moving direction, wherein the radio frequency intensity extreme value characteristics are returned by a plurality of RFID tags receiving radio frequency signals transmitted outwards by the same RFID antenna; obtaining a training data set based on the radio frequency intensity extreme value characteristics returned by the RFID label moving according to the preset moving direction; training a preset machine model through a training data set to obtain a trained moving direction judgment model; and inputting the radio frequency intensity extreme value characteristics returned by the to-be-detected RFID tag into the moving direction judgment model, and outputting the moving direction of the to-be-detected RFID tag. The invention can determine the direction of goods entering and exiting the warehouse based on the single antenna, thereby achieving the purpose of intelligent warehouse non-perception management.

Description

Method and system for judging direction of goods entering and exiting warehouse based on single antenna
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a system for judging the direction of goods entering and exiting a warehouse based on a single antenna.
Background
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 commerce, industry, education, medical treatment and the like, and particularly has good application in the subdivided fields of logistics, traffic, identity recognition, anti-counterfeiting, asset management and the like. In the management of assets, particularly important assets in a warehouse, intelligent management is performed through an RFID technology at present. But the management of the RFID-tagged items in and out of the warehouse is difficult to realize by only a single RFID antenna. The direction of the articles entering and exiting the warehouse needs to be confirmed manually, the workload is increased, the sensorless and intelligent management cannot be realized, and the management efficiency is reduced.
The method for judging whether the articles enter or exit from the warehouse is mainly used for judging the entrance and exit direction of the doorway by a double-antenna method or an infrared induction method, so that the entrance and exit direction of the articles is confirmed, and the field construction difficulty, the system cost and the system complexity are increased. Therefore, a method of determining the direction of entry and exit of an article using a single antenna is used.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for judging the direction of the articles entering and exiting the warehouse based on a single antenna. In the system and the method, the moving direction of the RFID tag is judged through a single antenna, the in-out direction of the article is determined, and the non-perception management of the intelligent storehouse is achieved.
In order to achieve the purpose, the technical scheme of the invention is as follows:
the method for judging the warehousing and ex-warehouse direction of the article based on the single antenna comprises the following steps:
acquiring radio frequency intensity extreme value characteristics returned by a plurality of RFID tags moving according to a preset moving direction, wherein the radio frequency intensity extreme value characteristics are returned by a plurality of RFID tags receiving radio frequency signals transmitted outwards by the same RFID antenna;
obtaining a training data set based on the radio frequency intensity extreme value characteristics returned by the RFID label moving according to the preset moving direction;
training a preset machine model through a training data set to obtain a trained moving direction judgment model;
and inputting the radio frequency intensity extreme value characteristics returned by the to-be-detected RFID tag into the moving direction judgment model, and outputting the moving direction of the to-be-detected RFID tag.
Preferably, the training of the preset machine model through the training data set to obtain the trained movement direction determination 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 the weight parameters of the machine model according to the comparison result of the prediction result and the real result, continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judgment model.
Preferably, the RFID antenna is disposed at the 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 the articles entering and exiting the warehouse based on the single antenna, which comprises a single RFID antenna, a plurality of RFID tags and a processing module connected with the RDID antenna, wherein,
the RFID antenna is used for transmitting radio frequency signals outwards;
the RFID tag is used for receiving the radio frequency signals transmitted outwards by the RFID antenna and returning the extreme value characteristics of the radio frequency intensity;
the processing module comprises an acquisition module and a moving direction determining module, wherein,
the acquisition module is used for acquiring the radio frequency intensity extreme value characteristics returned by the plurality of RFID tags moving according to the preset moving direction;
the moving direction determining module is used for obtaining a training data set based on the radio frequency intensity extreme value characteristics returned by the RFID label moving according to the preset moving direction; the system comprises a machine model, a training data set and a moving direction judging model, wherein the machine model is used for training a preset machine model through the training data set to obtain a trained moving direction judging model; and the method is used for inputting the radio frequency intensity extreme value characteristics returned by the to-be-detected RDID tag into the moving direction judgment model and outputting the moving direction of the to-be-detected RFID tag.
Preferably, 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 a machine learning model for prediction 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 prediction result and the real result, continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judgment model.
Preferably, the RFID antenna is disposed at the 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 invention can be widely applied to intelligent storehouses in various industries, the moving direction of the RFID tag is judged through the single antenna, the in-out direction of the articles is determined, the high-value articles can be well controlled, the problem that manual confirmation is needed in the in-out management of the storehouses is solved, the non-sensing in-out storage can be realized, and the management efficiency of the intelligent storehouses is improved. Meanwhile, the deployment cost and the construction cost of the intelligent storehouse can be reduced, and the construction complexity is reduced.
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FIG. 1 is a flow diagram of a method for determining the direction of an article entering or exiting a storage based on a single antenna in one embodiment;
FIG. 2 is a flow diagram illustrating a method for training a movement direction determination model according to one embodiment.
Detailed Description
The technical solution 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 warehousing/ex-warehousing direction based on a single antenna, the method being used for determining the article warehousing/ex-warehousing direction based on the single antenna, and the method comprising the following steps:
step S101, obtaining radio frequency intensity extreme value characteristics returned by a plurality of RFID tags moving according to a preset moving direction, wherein the radio frequency intensity extreme value characteristics are returned by a plurality of RFID tags receiving radio frequency signals transmitted outwards by the same RFID antenna;
step S102, a training data set is obtained based on the radio frequency intensity extreme value characteristics returned by the RFID label 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 judgment model;
and step S104, inputting the radio frequency intensity extreme value characteristics returned by the to-be-detected RDID tag into the moving direction judgment model, and outputting the moving direction of the to-be-detected RFID tag.
The 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. An RFID label is attached to a commodity in advance, commodity data and an EPC code value of the RFID label are bound in the system, and the moving direction of the RDIF label is judged to determine the direction of the commodity entering and leaving the warehouse.
In the application of the system aiming at the eave type RFID antenna, due to the shielding of a wall body and a door of a warehouse, the RFID wireless field intensity distribution inside and outside the door is different, and the door presents a special distribution characteristic, so that the extreme value characteristics of the radio frequency intensity moving from the inside of the door to the outside and from the outside of the door to the inside are also different. A training data set is obtained based on the extreme radio frequency intensity characteristics returned by the RFID tag moving from the interior to the exterior of the door and from the exterior to the interior. The method comprises the steps of training a preset machine model through a training data set to obtain a trained moving direction judgment model, and judging the moving direction of the RFID label to be detected through the moving direction judgment model, so that the direction of the article entering and exiting the warehouse is determined, and intelligent warehouse sensorless management is achieved.
Referring to fig. 2, fig. 2 is a schematic flow chart of a moving direction decision model training method, which 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 S302, adjusting the weight parameters of the machine model according to the comparison result of the prediction result and the real result, continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judgment 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 RDID antenna, wherein,
the RFID antenna is used for transmitting radio frequency signals outwards;
the RFID tag is used for receiving the radio frequency signals transmitted outwards by the RFID antenna and returning the extreme value characteristics of the radio frequency intensity;
the processing module comprises an acquisition module and a moving direction determining module, wherein,
the acquisition module is used for acquiring the radio frequency intensity extreme value characteristics returned by the plurality of RFID tags moving according to the preset moving direction;
the moving direction determining module is used for obtaining a training data set based on the radio frequency intensity extreme value characteristics returned by the RFID label moving according to the preset moving direction; the system comprises a training data set, a moving direction judging model and a moving direction judging model, wherein the training data set is used for training a preset machine model to obtain a trained moving direction judging model; and the method is used for inputting the radio frequency intensity extreme value characteristics returned by the RDID tag to be detected into the moving direction judgment model and outputting the moving direction of the RFID tag to be detected.
An RFID antenna is preset at the top of the door eave in advance, and the single RFID antenna is controlled to emit radio frequency signals outwards. An RFID label is pasted on a commodity in advance, commodity data and an EPC code value of the RFID label are bound in the system, and the moving direction of the RDIF label is judged to determine the direction of the commodity entering and leaving the warehouse.
In the application of the system aiming at the eave type RFID antenna, due to the shielding of a wall body and a door of a warehouse, the RFID wireless field intensity distribution inside and outside the door is different, and the door presents a special distribution characteristic, so that the extreme value characteristics of the radio frequency intensity moving from the inside of the door to the outside and from the outside of the door to the inside are also different. A training data set is obtained based on the extreme radio frequency intensity characteristics returned by the RFID tag moving from the interior to the exterior of the door and from the exterior to the interior. The method comprises the steps of training a preset machine model through a training data set to obtain a trained moving direction judgment model, and judging the moving direction of the RFID label to be detected through the moving direction judgment model, so that the direction of the article entering and exiting the warehouse is determined, and intelligent warehouse sensorless management is achieved.
In the system for determining the direction of the article entering or exiting the warehouse based on the 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 a machine learning model for prediction 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 prediction result and the real result, continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judgment model.
The above embodiments are merely preferred examples of the present application, and are not intended to limit the present application, and those skilled in the art may make various modifications and changes. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present application shall be included in the protection scope of the embodiments of the present application.

Claims (8)

1. The method for judging the direction of the articles entering and exiting the warehouse based on the single antenna is characterized by comprising the following steps:
acquiring radio frequency intensity extreme value characteristics returned by a plurality of RFID tags moving according to a preset moving direction, wherein the radio frequency intensity extreme value characteristics are returned by a plurality of RFID tags receiving radio frequency signals transmitted outwards by the same RFID antenna;
obtaining a training data set based on the radio frequency intensity extreme value characteristics returned by the RFID label moving according to the preset moving direction;
training a preset machine model through a training data set to obtain a trained moving direction judgment model;
and inputting the radio frequency intensity extreme value characteristics returned by the to-be-detected RFID tag into the moving direction judgment model, and outputting the moving direction of the to-be-detected RFID tag.
2. The method for determining the direction of the articles entering or exiting the warehouse based on the single antenna according to claim 1, wherein the method for obtaining the trained moving direction determination model by training a preset machine model through a training data set 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 the weight parameters of the machine model according to the comparison result of the prediction result and the real result, continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judgment model.
3. The system for determining the direction of entry or exit of an item based on a single antenna of claim 1, wherein said RFID antenna is disposed on the top of the entry or exit device.
4. The method for determining the direction of warehousing of the article based on the single antenna as claimed in claim 1, wherein the moving direction comprises two corresponding opposite directions.
5. The system for determining the direction of the articles entering or exiting the warehouse 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 RDID antenna, wherein,
the RFID antenna is used for transmitting radio frequency signals outwards;
the RFID tag is used for receiving the radio frequency signals transmitted outwards by the RFID antenna and returning the extreme value characteristics of the radio frequency intensity;
the processing module comprises an acquisition module and a moving direction determining module, wherein,
the acquisition module is used for acquiring the radio frequency intensity extreme value characteristics returned by the plurality of RFID tags moving according to the preset moving direction;
the moving direction determining module is used for obtaining a training data set based on the radio frequency intensity extremum characteristic returned by the RFID label moving according to the preset moving direction; the system comprises a machine model, a training data set and a moving direction judging model, wherein the machine model is used for training a preset machine model through the training data set to obtain a trained moving direction judging model; and the method is used for inputting the radio frequency intensity extreme value characteristics returned by the to-be-detected RDID tag into the moving direction judgment model and outputting the moving direction of the to-be-detected RFID tag.
6. The single antenna based system for determining the direction of entry or exit of an item according to claim 5, wherein said 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 a machine learning model for prediction 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 prediction result and the real result, continuing training until the prediction result meets the preset requirement, and taking the current machine model as a trained moving direction judgment model.
7. The system for determining the direction of entry or exit of an item according to claim 5, wherein said RFID antenna is disposed on the top of the entry or exit device.
8. The system for determining the direction of entry or exit of an item based on a single antenna of claim 5, wherein said direction of movement comprises two corresponding opposite directions.
CN202211114698.0A 2022-09-14 2022-09-14 Method and system for judging article entering and exiting direction based on single antenna Active CN115470806B (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190049548A1 (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
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190049548A1 (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
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

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