CN111918231A - Baggage mobile intelligent network management method - Google Patents

Baggage mobile intelligent network management method Download PDF

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CN111918231A
CN111918231A CN202010505133.XA CN202010505133A CN111918231A CN 111918231 A CN111918231 A CN 111918231A CN 202010505133 A CN202010505133 A CN 202010505133A CN 111918231 A CN111918231 A CN 111918231A
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luggage
baggage
node
sensor
information
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CN111918231B (en
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郑紫微
陈平顺
赵婷
段欢
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Ningbo University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention relates to a baggage mobile intelligent network management method, which comprises the steps of arranging a plurality of sensor nodes capable of reading passive non-contact tag information of baggage on a conveyor belt in advance, dividing the sensor nodes into a plurality of sensor node grids, then a beacon node is selected from each sensing node grid, the selected beacon nodes send the detected luggage positioning information to the luggage management platform together, the luggage management platform can receive and store the luggage positioning information in time conveniently, then the customer needs to log in his own luggage information at the luggage management platform in advance, the luggage management platform can send the luggage positioning information of the customer to the customer mobile terminal of the customer in time, therefore, the client can conveniently and quickly find the luggage on the conveyor belt, and the situation that the luggage is taken by mistake due to the same appearance is avoided.

Description

Baggage mobile intelligent network management method
Technical Field
The invention relates to the field of intelligent baggage management, in particular to a method for managing a baggage mobile intelligent grid network.
Background
In the baggage consignment process, a conveyor belt is usually used to transport the consigned baggage, and then the owner (or client) of the baggage distinguishes the consignment according to the appearance, such as color or shape, of the baggage to identify the baggage in a far-ranging field of view, and then the baggage is taken close to the conveyor belt to carry away the baggage.
However, the conventional baggage transportation method based on the conveyor belt is not only difficult for the owner of the baggage to identify the baggage on the moving conveyor belt in time, but also causes a situation of taking the baggage by mistake due to the fact that the appearance of the baggage is the same as that of the baggage of other people, which causes great troubles to the user, other people and baggage carriers.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for managing a baggage mobile smart grid network in view of the above prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a baggage mobile smart grid network management method is characterized by comprising the following steps:
step 1, arranging a plurality of sensor nodes on a baggage conveyor belt in advance according to preset interval positions, and acquiring position coordinate information of each sensor node; wherein the total number of sensor nodes on the baggage conveyor belt is marked as M and the mth sensor node on the baggage conveyor belt is marked as CRmM is more than or equal to 1 and less than or equal to M, and a sensor node CRmPosition coordinate mark of
Figure BDA0002526269840000011
Each sensor node is positioned in a plane rectangular coordinate system XOY which takes the center of the luggage conveyer belt as an origin, passes through the origin and is formed by taking the width direction of the luggage conveyer belt as an X axis and taking the horizontal direction vertical to the X axis as a Y axis;
step 2, embedding the luggage to be moved into the luggage conveyer belt to be respectively conveyedThe sensor node reads a passive non-contact tag with built-in information; wherein the total number of pieces of baggage to be moved onto the baggage conveyor is marked N and the passive contactless tag embedded on the nth piece of baggage to be moved onto the baggage conveyor is marked CUnN is more than or equal to 1 and less than or equal to N; any sensor node on the luggage conveyer belt can read luggage information in any passive non-contact type tag;
step 3, forming a sensing node grid area respectively comprising a plurality of sensor nodes according to the total number of the sensor nodes on the luggage conveyer belt and the position coordinate information of each sensor node; the total number of the sensing node Grid areas is marked as K, and the K-th sensing node Grid area is marked as Gridk，1≤k≤K：
Figure BDA0002526269840000021
Figure BDA0002526269840000022
wherein ,
Figure BDA0002526269840000023
representing a contrast value
Figure BDA0002526269840000024
Performing rounding calculation, wherein alpha is a numerical value alpha1And the value a2The minimum value of (a) to (b),
Figure BDA0002526269840000025
the distance between the representation and the origin O is larger than a preset threshold value
Figure BDA0002526269840000026
The total number of all sensing nodes of (a),
Figure BDA0002526269840000027
indicating that the distance from the origin O is within a predetermined threshold
Figure BDA0002526269840000028
And a threshold value
Figure BDA0002526269840000029
The total number of all sensing nodes in between;
step 4, obtaining the number of the sensor nodes in each sensing node grid area according to the total number of the sensor nodes on the luggage conveyer belt and the total number of the obtained sensing node grid areas; wherein, the Grid area of the sensing nodekNumber of sensor nodes within is marked
Figure BDA00025262698400000210
Figure BDA00025262698400000211
Step 5, selecting the sensor node closest to the origin as a beacon node of any sensor node grid area from all the sensor nodes in any sensor node grid area;
step 6, the beacon nodes in each sensing node grid area start reading detection aiming at the passive non-contact type tags in real time;
step 7, after any beacon node detects that the passive non-contact tag appears, reading the luggage information in the passive non-contact tag, and sending the luggage positioning information comprising the read luggage information and the coordinate information of any beacon node to a luggage management platform;
and 8, receiving and displaying the luggage positioning information sent by each beacon node in real time by the luggage management platform.
Of course, in order to facilitate the client to locate the position information of the luggage on the conveyor belt in time, the luggage mobile intelligent grid network management method of the invention further comprises: the luggage management platform establishes communication connection with a client mobile terminal and sends luggage positioning information of a client corresponding to the client mobile terminal.
In the baggage mobile smart grid network management method, a customer needs to register baggage information belonging to the customer and located on the conveyor belt at a baggage management platform in advance by using a customer mobile terminal.
Compared with the prior art, the invention has the advantages that: according to the invention, a plurality of sensor nodes which can read the passive non-contact tag information of the luggage are arranged on the conveyor belt in advance, the sensor nodes are divided into a plurality of sensor node grids, then one beacon node is selected from each sensor node grid, the detected luggage positioning information is sent to the luggage management platform by the selected beacon node, the luggage management platform can conveniently receive and store the luggage positioning information in time, then the luggage management platform needs to log in the luggage information of the user in advance, and the luggage management platform can send the luggage positioning information of the user to the client mobile terminal of the user in time, so that the user can conveniently and quickly find the luggage on the conveyor belt, and the situation of mistaken taking caused by the same appearance of the luggage is avoided.
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Fig. 1 is a flow chart of a baggage mobile smart grid network management method according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
Referring to fig. 1, the present embodiment provides a baggage mobile smart grid network management method, including the following steps:
step 1, arranging a plurality of sensor nodes on a baggage conveyor belt in advance according to preset interval positions, and acquiring position coordinate information of each sensor node; wherein the total number of sensor nodes on the baggage conveyor belt is marked as M and the mth sensor node on the baggage conveyor belt is marked as CRmM is more than or equal to 1 and less than or equal to M, and a sensor node CRmPosition coordinate mark of
Figure BDA0002526269840000031
Each sensor node is positioned in a plane rectangular coordinate system XOY which takes the center of the luggage conveyer belt as an origin, passes through the origin and is formed by taking the width direction of the luggage conveyer belt as an X axis and taking the horizontal direction vertical to the X axis as a Y axis; of course, the value M here is preferably set to an even number;
step 2, embedding a passive non-contact tag which can be read by each sensor node and has built-in information into the luggage to be moved into the luggage conveyer belt; wherein the total number of pieces of baggage to be moved onto the baggage conveyor is marked N and the passive contactless tag embedded on the nth piece of baggage to be moved onto the baggage conveyor is marked CUnN is more than or equal to 1 and less than or equal to N; any sensor node on the luggage conveyer belt can read luggage information in any passive non-contact type tag;
step 3, forming a sensing node grid area respectively comprising a plurality of sensor nodes according to the total number of the sensor nodes on the luggage conveyer belt and the position coordinate information of each sensor node; the total number of the sensing node Grid areas is marked as K, and the K-th sensing node Grid area is marked as Gridk，1≤k≤K：
Figure BDA0002526269840000032
Figure BDA0002526269840000033
wherein ,
Figure BDA0002526269840000034
representing a contrast value
Figure BDA0002526269840000035
Performing rounding calculation, wherein alpha is a numerical value alpha1And the value a2The minimum value of (a) to (b),
Figure BDA0002526269840000041
representing the point of origin OThe distance between the two electrodes is greater than a preset threshold value
Figure BDA0002526269840000042
The total number of all sensing nodes of (a),
Figure BDA0002526269840000043
indicating that the distance from the origin O is within a predetermined threshold
Figure BDA0002526269840000044
And a threshold value
Figure BDA0002526269840000045
The total number of all sensing nodes in between; preset threshold value
Figure BDA0002526269840000046
And a threshold value
Figure BDA0002526269840000047
Are all constant;
step 4, obtaining the number of the sensor nodes in each sensing node grid area according to the total number of the sensor nodes on the luggage conveyer belt and the total number of the obtained sensing node grid areas; wherein, the Grid area of the sensing nodekNumber of sensor nodes within is marked
Figure BDA0002526269840000048
Figure BDA0002526269840000049
Step 5, selecting a sensor node closest to the origin O from all sensor nodes in any sensor node grid area as a beacon node of the any sensor node grid area;
step 6, the beacon nodes in each sensing node grid area start reading detection aiming at the passive non-contact type tags in real time;
step 7, after any beacon node detects that the passive non-contact tag appears, reading the luggage information in the passive non-contact tag, and sending the luggage positioning information comprising the read luggage information and the coordinate information of any beacon node to a luggage management platform;
and 8, receiving and displaying the luggage positioning information sent by each beacon node in real time by the luggage management platform. The luggage management platform can establish communication connection with a client mobile terminal and send luggage positioning information of a client corresponding to the client mobile terminal. Of course, the customer here needs to log in the baggage information belonging to the customer and located on the conveyer belt at the baggage management platform in advance using the customer mobile terminal of the customer.
The baggage mobile intelligent network management method in this embodiment is implemented by arranging a plurality of sensor nodes each capable of reading passive non-contact tag information of baggage on a conveyor belt in advance, and dividing the sensor nodes into a plurality of sensor node grids, then a beacon node is selected from each sensing node grid, the selected beacon nodes send the detected luggage positioning information to the luggage management platform together, the luggage management platform can receive and store the luggage positioning information in time conveniently, then the customer needs to log in his own luggage information at the luggage management platform in advance, the luggage management platform can send the luggage positioning information of the customer to the customer mobile terminal of the customer in time, therefore, the client can conveniently and quickly find the luggage on the conveyor belt, and the situation that the luggage is taken by mistake due to the same appearance is avoided.
Although preferred embodiments of the present invention have been described in detail hereinabove, it should be clearly understood that modifications and variations of the present invention are possible to 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 (3)

1. A baggage mobile smart grid network management method is characterized by comprising the following steps:
step 1, arranging a plurality of sensor nodes on a baggage conveyor belt in advance according to preset interval positions, and acquiring position coordinate information of each sensor node; wherein the total number of sensor nodes on the baggage conveyor belt is marked as M and the mth sensor node on the baggage conveyor belt is marked as CRmM is more than or equal to 1 and less than or equal to M, and a sensor node CRmPosition coordinate mark of
Figure FDA0002526269830000011
Each sensor node is positioned in a plane rectangular coordinate system XOY which takes the center of the luggage conveyer belt as an origin, passes through the origin and is formed by taking the width direction of the luggage conveyer belt as an X axis and taking the horizontal direction vertical to the X axis as a Y axis;
step 2, embedding a passive non-contact tag which can be read by each sensor node and has built-in information into the luggage to be moved into the luggage conveyer belt; wherein the total number of pieces of baggage to be moved onto the baggage conveyor is marked N and the passive contactless tag embedded on the nth piece of baggage to be moved onto the baggage conveyor is marked CUnN is more than or equal to 1 and less than or equal to N; any sensor node on the luggage conveyer belt can read luggage information in any passive non-contact type tag;
step 3, forming a sensing node grid area respectively comprising a plurality of sensor nodes according to the total number of the sensor nodes on the luggage conveyer belt and the position coordinate information of each sensor node; the total number of the sensing node Grid areas is marked as K, and the K-th sensing node Grid area is marked as Gridk，1≤k≤K：
Figure FDA0002526269830000012
α＝min(α1,a2)；
Figure FDA0002526269830000013
wherein ,
Figure FDA0002526269830000014
representing a contrast value
Figure FDA0002526269830000015
Performing rounding calculation, wherein alpha is a numerical value alpha1And the value a2The minimum value of (a) to (b),
Figure FDA0002526269830000016
the distance between the representation and the origin O is larger than a preset threshold value
Figure FDA0002526269830000017
The total number of all sensing nodes of (a),
Figure FDA0002526269830000018
indicating that the distance from the origin O is within a predetermined threshold
Figure FDA0002526269830000019
And a threshold value
Figure FDA00025262698300000110
The total number of all sensing nodes in between;
step 4, obtaining the number of the sensor nodes in each sensing node grid area according to the total number of the sensor nodes on the luggage conveyer belt and the total number of the obtained sensing node grid areas; wherein, the Grid area of the sensing nodekNumber of sensor nodes within is marked
Figure FDA00025262698300000111
Figure FDA00025262698300000112
Step 5, selecting the sensor node closest to the origin as a beacon node of any sensor node grid area from all the sensor nodes in any sensor node grid area;
step 6, the beacon nodes in each sensing node grid area start reading detection aiming at the passive non-contact type tags in real time;
step 7, after any beacon node detects that the passive non-contact tag appears, reading the luggage information in the passive non-contact tag, and sending the luggage positioning information comprising the read luggage information and the coordinate information of any beacon node to a luggage management platform;
and 8, receiving and displaying the luggage positioning information sent by each beacon node in real time by the luggage management platform.
2. The baggage mobile smart grid network management method according to claim 1, further comprising: the luggage management platform establishes communication connection with a client mobile terminal and sends luggage positioning information of a client corresponding to the client mobile terminal.
3. The baggage mobile smart grid network management method according to claim 2, wherein the customer uses the customer mobile terminal to log in the baggage information belonging to the customer and located on the conveyer belt at the baggage management platform in advance.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114338734A (en) * 2021-11-22 2022-04-12 四川云恒数联科技有限公司 Sensing terminal data access configuration method based on Internet of things

Citations (3)

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Publication number Priority date Publication date Assignee Title
CN101794415A (en) * 2010-02-03 2010-08-04 中国科学院自动化研究所 Airport crewing management system based on radio frequency identification technology
CN105282222A (en) * 2014-07-16 2016-01-27 索尼公司 Applying mesh network to luggage
WO2020083454A1 (en) * 2018-10-25 2020-04-30 Merouane Elarbi Berrebiha Prototype of a system for intelligent management of airline luggage by means of a radio frequency identification system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101794415A (en) * 2010-02-03 2010-08-04 中国科学院自动化研究所 Airport crewing management system based on radio frequency identification technology
CN105282222A (en) * 2014-07-16 2016-01-27 索尼公司 Applying mesh network to luggage
WO2020083454A1 (en) * 2018-10-25 2020-04-30 Merouane Elarbi Berrebiha Prototype of a system for intelligent management of airline luggage by means of a radio frequency identification system

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Title
张子豪等: "机场行李自动分拣系统设计与开发" *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114338734A (en) * 2021-11-22 2022-04-12 四川云恒数联科技有限公司 Sensing terminal data access configuration method based on Internet of things
CN114338734B (en) * 2021-11-22 2024-03-22 四川云恒数联科技有限公司 Sensing terminal data access configuration method based on Internet of things

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