CN111966774A - Dynamic positioning method and system for cigarette packet retail customer - Google Patents

Dynamic positioning method and system for cigarette packet retail customer Download PDF

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Publication number
CN111966774A
CN111966774A CN202010833660.3A CN202010833660A CN111966774A CN 111966774 A CN111966774 A CN 111966774A CN 202010833660 A CN202010833660 A CN 202010833660A CN 111966774 A CN111966774 A CN 111966774A
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signing
circle
coordinate
coordinates
cigarette packet
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Inventor
姚利军
蔡晗潇
肖纲超
刘文新
朱晓鸣
孙刚
吴柏斌
龙铁军
张学明
罗伟
罗凡
陈舟
晏晶
周闽
蔡永长
王玲玲
曹泽龙
彭岚
白风清
游子方
肖红球
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Hunan Changzhutan Tobacco Logistics Co ltd
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Hunan Changzhutan Tobacco Logistics Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification

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  • Databases & Information Systems (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Probability & Statistics with Applications (AREA)
  • Fuzzy Systems (AREA)
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  • Computational Linguistics (AREA)
  • Remote Sensing (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

The invention discloses a dynamic positioning method and a dynamic positioning system for cigarette packet retail customers, wherein a plurality of signing coordinates of the retail customer to be positioned are obtained from historical data, and the signing coordinates are dispersed into a plane coordinate system; drawing a circle by taking each sign-off coordinate as a circle center and a preset distance value as a radius to obtain a clustering circle corresponding to each sign-off coordinate; counting the number of sign-in coordinates in each clustering circle, and selecting the clustering circle with the largest number of sign-in coordinates as a center circle; and calculating and taking the coordinates of the central point of the central circle as the accurate coordinates of the retail user, and compared with the prior art, continuously iterating and optimizing the accurate position of the retail user through a clustering positioning algorithm, improving the accuracy of the signing position and further providing for the navigation of a distributor and the monitoring and verification of a competent department.

Description

Dynamic positioning method and system for cigarette packet retail customer
Technical Field
The invention relates to the field of cigarette packet distribution, in particular to a dynamic positioning method and a dynamic positioning system for cigarette packet retailers.
Background
The position information of the traditional cigarette packet retail customer is obtained by a shop dealer when registering the tobacco monopoly license, because a large number of addresses of retailers during moving and registering exist in reality, and when a plurality of merchants spread the registered tobacco monopoly license number, the information of the building is not available on a map, the similar geographical markers on the map can be used for substitution, so that the position information on the registered tobacco monopoly license is not reliable, the cleaning difficulty is high, and great troubles are brought to the retail and distribution supervision of tobacco.
Disclosure of Invention
The invention provides a dynamic positioning method and a dynamic positioning system for cigarette packet retailers, which are used for solving the technical problem that the position information of the existing cigarette packet retailers is not accurate enough.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a dynamic positioning method for cigarette packet retailers comprises the following steps:
acquiring a plurality of historical signing-in coordinates of a retail user to be positioned from historical data, and dispersing the plurality of historical signing-in coordinates into a plane coordinate system;
drawing a circle by taking each historical signing coordinate as a circle center and a preset distance value as a radius to obtain a clustering circle corresponding to each historical signing coordinate;
counting the number of historical signing coordinates in each clustering circle, and selecting the clustering circle with the largest number of historical signing coordinates as a center circle;
and calculating and using the coordinates of the center point of the central circle as accurate coordinates of the retail user.
Preferably, if the clustering circle with the largest historical sign-in coordinate number comprises a plurality of clustering circles, the clustering circle with the closest sign-in time at the center of the circle is selected as the center circle.
Preferably, the abscissa of the central point coordinate is an average of the abscissas of the historical sign-off coordinates in the central circle, and the ordinate of the central point coordinate is an average of the ordinates of the historical sign-off coordinates in the central circle.
Preferably, the method further comprises the following steps:
acquiring a current real-time signing coordinate, dispersing the real-time signing position into the plane coordinate system, judging whether the real-time signing coordinate falls into the central circle, recalculating a new central point coordinate of the central circle according to the real-time signing coordinate and an existing historical signing coordinate in the central circle when the real-time signing coordinate falls into the central circle, and updating the accurate coordinate of the retail user through the new central point coordinate.
Preferably, the method further comprises the following steps:
the method comprises the steps of obtaining a current real-time signing coordinate, calculating a real-time distance value between the real-time signing coordinate and the accurate coordinate, judging whether the real-time distance value is larger than a set distance threshold value, and controlling an acousto-optic alarm component to send an alarm when the real-time distance value is larger than the distance threshold value.
Preferably, the signing coordinates are obtained through a cigarette packet distribution monitoring system, and the cigarette packet distribution monitoring system is used for collecting and storing the signing coordinates when a retail customer signs a cigarette packet
A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of the methods described above when executing the computer program.
The invention has the following beneficial effects:
1. the dynamic positioning method and the dynamic positioning system for the cigarette packet retail user can continuously and iteratively optimize the accurate position of the retail user through a clustering positioning algorithm, improve the accuracy of the signing position, and further provide for the navigation of a distributor and the monitoring and verification of a competent department.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of the operation of the dynamic positioning method of the cigarette packet retailer in the present invention;
fig. 2 is a display format of first warning information of a dynamic positioning system of a cigarette packet retailer in a preferred embodiment of the present invention;
fig. 3 is a display format of the second warning message of the dynamic positioning system of the cigarette packet retailer in the preferred embodiment of the present invention;
fig. 4 is a display format of third warning information of a dynamic positioning system of a cigarette packet retailer in a preferred embodiment of the present invention;
fig. 5 is a display manner of the matching-failed position information and the historical position information of the dynamic positioning system of the cigarette packet retailer on the map in the preferred embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
The first embodiment is as follows:
as shown in fig. 1, the invention discloses a dynamic positioning method for cigarette packet retailers, which is characterized by comprising the following steps:
acquiring a plurality of historical signing-in coordinates of a retail user to be positioned from historical data, and dispersing the plurality of historical signing-in coordinates into a plane coordinate system;
drawing a circle by taking each historical signing coordinate as a circle center and a preset distance value as a radius to obtain a clustering circle corresponding to each historical signing coordinate;
counting the number of historical signing coordinates in each clustering circle, and selecting the clustering circle with the largest number of historical signing coordinates as a center circle;
and calculating and using the coordinates of the center point of the central circle as accurate coordinates of the retail user.
In addition, in this embodiment, a computer system is also disclosed, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the computer system implements the steps of any of the above methods.
The dynamic positioning method and the dynamic positioning system for the cigarette packet retail user can continuously and iteratively optimize the accurate position of the retail user through a clustering positioning algorithm, improve the accuracy of the signing position, and further provide for the navigation of a distributor and the monitoring and verification of a competent department.
Example two:
the second embodiment is an extended embodiment of the first embodiment, and is different from the first embodiment in that steps of the dynamic positioning method of the cigarette packet retail customer are refined, and functions of a dynamic positioning system of the cigarette packet retail customer are extended.
The dynamic positioning system of the cigarette packet retail customer in the embodiment comprises a collecting component, a data processing component, a storage server and an early warning system, wherein the data processing component is respectively connected with the collecting component, the storage server and the early warning system.
The acquisition assembly comprises an input module, a shooting assembly, a positioning assembly and an evaluation module, wherein the input module, the shooting assembly, the positioning assembly and the evaluation module are all connected with the data processing assembly;
the input module is used for a distributor to input a single number of a signed cigarette packet and send the single number to the data processing component; the shooting component is used for shooting a signing photo containing a signing cigarette packet and a signing face and sending the signing photo to the data processing component; the positioning assembly detects the real-time signing position of the signing cigarette packet and sends the implementation signing position to the data processing assembly; the evaluation component is used for the check-in personnel to evaluate the distribution service of the distributor and sending the evaluation of the check-in personnel to the data processing component.
In this embodiment, the acquisition component may be a mobile phone or other mobile terminal having a positioning function, a photographing function, and an input interface, and having a single number entry program, a photo taking and signing program, a positioning program, and an evaluation program built therein, and capable of establishing communication with the data processing component; the program for inputting the single number, the program for taking the sign-in photo, the positioning program and the evaluation program can be integrated with a mobile phone APP (application program) or an applet.
Specifically, in this embodiment, the order number entry program, the shooting and positioning program, and the evaluation program are integrated with a small nailing program, where the small nailing program includes an order number entry interface, a photo taking and signing interface, and an evaluation interface; the acquisition component is a mobile phone downloaded with the nailing small program, and when signing for the cigarette, a distributor opens the nailing small program and inputs or selects the single number of the cigarette packet signing for the cigarette packet on a single number input interface; selecting a shooting key on a shooting signing interface, and automatically calling a camera of the mobile phone by a shooting and Positioning program in a nailing small program to enable a distributor to shoot a signing photo containing a signing cigarette packet and a signing face, and calling a navigation component carried by the mobile phone, such as a Global Positioning System (GPS) or a Beidou satellite, to position a shooting place to obtain a real-time signing position of the signing cigarette packet, and storing the real-time signing position of the signing cigarette packet into the signing photo to obtain the signing photo containing the signing cigarette packet, the signing face and the shooting place; the distributor can also open an evaluation interface to allow the sign-in personnel to input the evaluation; the taken signing-in photo is pre-stored in OSS (Object Storage Service) of the mobile phone in a byte Storage format (BYTES), and a real-time signing-in position of a signing-in cigarette packet will be present in EXIF (Exchangeable image file format) information of the photo.
After the tobacco bale single number, the corresponding signing photo and the evaluation are obtained, the distributor selects the sending key of the nailing small program to send the signed tobacco bale single number, the corresponding signing photo and the evaluation to the data processing component;
in this embodiment, the data processing assembly includes a receiving module, a position matching module, a face recognition module, a cigarette packet recognition module, and a positioning clustering module;
in this embodiment, the storage server is configured to store the sheet number of the signed tobacco bale, the corresponding signing photo, the corresponding signing position, the corresponding evaluation of the signing personnel, and the corresponding retail outlet monopoly certificate, and use the sheet number of the signed tobacco bale, the corresponding signing photo, the corresponding position information, the corresponding evaluation of the signing personnel, and the corresponding retail outlet monopoly certificate as an index.
The face recognition module is used for extracting the signing face from the signing photo, matching the signing face with a prestored sample face, judging that tobacco bale distribution of the single number meets a first distribution condition when the signing face is successfully matched with the sample face, generating a first alarm signal when the signing face is judged to be unsuccessfully matched with the sample face, and sending the signing photo of the first alarm signal, the single number corresponding to the signing photo and a failure reason to an early warning system;
in this embodiment, the face recognition module may be a face recognition model based on a deep convolutional neural network built for itself, or may select a commercially available face recognition SDK (Software Development Kit) built in the data processing component, such as a face recognition SDK of soft iridescent ArcSoft.
The cigarette packet identification module is used for extracting the signing cigarette packet from the signing photo, matching the signing cigarette packet with a prestored sample cigarette packet, judging that the cigarette packet delivery of the single number meets a second delivery condition when the signing cigarette packet is successfully matched with the sample cigarette packet, generating a second alarm signal when the signing cigarette packet is judged to be unsuccessfully matched with the sample cigarette packet, and sending the second alarm signal, the signing photo, the single number corresponding to the signing photo and the failure reason to an early warning system;
in this embodiment, the cigarette packet recognition module is a neural network model, the neural network model takes the signing photo as an input quantity, the signing photo of the handheld cigarette packet and the signing photo of the cigarette packet placed on the ground are taken as training samples, the training samples are marked with coordinates of the signing cigarette packet, and the confidence coefficient and the coordinates of the signing cigarette packet are taken as output quantities.
The positioning clustering module acquires a historical signing position corresponding to a monopoly certificate of a retail user to be positioned from a storage server, converts the signing position information into historical signing coordinates of a plane coordinate system from longitude and latitude position information, and disperses the historical signing coordinates into the plane coordinate system;
in a plane coordinate system, drawing a circle by taking each historical signing-in coordinate as a circle center and a preset distance value as a radius to obtain a clustering circle corresponding to each historical signing-in coordinate; counting the number of historical signing coordinates in each clustering circle, and selecting the clustering circle with the largest number of historical signing coordinates as a center circle; if the clustering circle with the largest historical sign-in coordinate number contains a plurality of clustering circles, selecting the clustering circle with the nearest sign-in time of the circle center as a center circle;
calculating the central point coordinate of the central circle, wherein the abscissa of the central point coordinate is the mean value of the abscissas of all the sign-on positions in the central circle, and the ordinate of the central point coordinate is the mean value of the ordinates of all the sign-on positions in the central circle; and converting the coordinates of the central point into longitude and latitude position information as the accurate coordinates.
The iterative updating step of the positioning clustering module comprises the following steps:
acquiring a current real-time signing coordinate, dispersing the real-time signing position into the plane coordinate system, judging whether the real-time signing coordinate falls into the central circle, recalculating a new central point coordinate of the central circle according to the real-time signing coordinate and a historical signing coordinate existing in the central circle when the real-time signing coordinate falls into the central circle, and updating an accurate coordinate of the retail user through the new central point coordinate; and when the real-time sign-in coordinate does not fall into the central circle, not updating the accurate coordinate of the retail user.
The position matching module is used for calculating a real-time distance value between a real-time signing position of the distribution and a calculated accurate coordinate, when the real-time distance value is smaller than a preset distance threshold value, the real-time signing position and the accurate position are judged to be successfully matched, the single cigarette packet distribution meets a third distribution condition, when the real-time distance value is larger than the preset distance threshold value, a third alarm signal is generated, and the third alarm signal, the real-time signing position, the single number corresponding to the real-time signing position and a failure reason are sent to an early warning system;
the early warning system is used for receiving the first warning signal, the signing photo, the single number corresponding to the signing photo and the failure reason, searching the corresponding management platform according to the single number of the signing cigarette packet, and sending the signing photo, the single number corresponding to the signing photo and the failure reason as first early warning information to the corresponding management platform for early warning display;
the early warning system is also used for receiving the second warning signal, the signing photo, the single number corresponding to the signing photo and the failure reason, searching the corresponding management platform according to the single number of the signing cigarette packet, and sending the signing photo, the single number corresponding to the signing photo and the failure reason as second early warning information to the corresponding management platform for early warning display;
the early warning system is further used for receiving the first warning signal, the position information, the single number corresponding to the position information and the failure reason, searching the corresponding management platform according to the single number of the signed cigarette packet, and sending the position information, the single number corresponding to the position information and the failure reason as third early warning information to the corresponding management platform for early warning display.
In this embodiment, the data processing component is preferably a cloud server, and the management platform may manage staple groups of different distributors or cigarette packets; as shown in fig. 2, 3 and 4, the warning system pushes the first warning information, the second warning information and the third warning information in different links through the nailing robot, and sends the first warning information, the second warning information and the third warning information to the nailing group through a request in a fixed format.
In a preferred embodiment, the early warning system is further connected to a map software, and as shown in fig. 5, a js api (javascript application Programming Interface) of the map software (such as a gold map) can be invoked to mark the location information that fails to be matched and the historical location information on the map in different colors.
In conclusion, the dynamic positioning method and the dynamic positioning system for the cigarette packet retail user can continuously iterate and optimize the accurate position of the retail user through the clustering positioning algorithm, improve the accuracy of the signing position, and further provide guidance for a distributor and monitoring and auditing of a competent department.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. A dynamic positioning method for cigarette packet retailers is characterized by comprising the following steps:
acquiring a plurality of historical signing-in coordinates of a retail user to be positioned from historical data, and dispersing the plurality of historical signing-in coordinates into a plane coordinate system;
drawing a circle by taking each historical signing coordinate as a circle center and a preset distance value as a radius to obtain a clustering circle corresponding to each historical signing coordinate;
counting the number of historical signing coordinates in each clustering circle, and selecting the clustering circle with the largest number of historical signing coordinates as a center circle;
and calculating and using the coordinates of the center point of the central circle as accurate coordinates of the retail user.
2. The dynamic positioning method for cigarette packet retailers as defined in claim 1, wherein if the clustering circle with the largest number of historical signing coordinates contains a plurality of clustering circles, the clustering circle with the closest signing time at the center of the circle is selected as the center circle.
3. The method according to claim 2, wherein the abscissa of the center point coordinate is a mean of the abscissas of the historical signing-in coordinates in the center circle, and the ordinate of the center point coordinate is a mean of the ordinates of the historical signing-in coordinates in the center circle.
4. The dynamic positioning method for cigarette packet retailers according to claim 3, further comprising the steps of:
acquiring a current real-time signing coordinate, dispersing the real-time signing position into the plane coordinate system, judging whether the real-time signing coordinate falls into the central circle, recalculating a new central point coordinate of the central circle according to the real-time signing coordinate and an existing historical signing coordinate in the central circle when the real-time signing coordinate falls into the central circle, and updating the accurate coordinate of the retail user through the new central point coordinate.
5. The dynamic positioning method for cigarette packet retailers according to claim 4, further comprising the steps of:
the method comprises the steps of obtaining a current real-time signing coordinate, calculating a real-time distance value between the real-time signing coordinate and the accurate coordinate, judging whether the real-time distance value is larger than a set distance threshold value, and controlling an acousto-optic alarm component to send an alarm when the real-time distance value is larger than the distance threshold value.
6. The cigarette packet retailer locating method according to any one of claims 1 to 5, wherein the receipt coordinates are obtained by a cigarette packet delivery monitoring system for collecting and storing the receipt coordinates when a retailer signs a cigarette packet.
7. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 6 are performed when the computer program is executed by the processor.
CN202010833660.3A 2020-08-18 2020-08-18 Dynamic positioning method and system for cigarette packet retail customer Pending CN111966774A (en)

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