CN111918231B - Luggage mobile intelligent grid network management method - Google Patents
Luggage mobile intelligent grid network management method Download PDFInfo
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- CN111918231B CN111918231B CN202010505133.XA CN202010505133A CN111918231B CN 111918231 B CN111918231 B CN 111918231B CN 202010505133 A CN202010505133 A CN 202010505133A CN 111918231 B CN111918231 B CN 111918231B
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- luggage
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- 238000007726 management method Methods 0.000 title claims abstract description 36
- 238000001514 detection method Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 description 2
- 239000000969 carrier Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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Classifications
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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
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- 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
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- 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
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- 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
Abstract
The invention relates to a luggage mobile intelligent grid network management method, which is characterized in that a plurality of sensor nodes which can read passive non-contact tag information of luggage are arranged on a conveyor belt in advance, the sensor nodes are divided into a plurality of sensor node grids, then a beacon node is selected from each sensor node grid, the selected beacon nodes send detected luggage positioning information to a luggage management platform together, the luggage management platform is convenient to receive and store the luggage positioning information in time, then a customer needs to log in own luggage information at the luggage management platform in advance, and the luggage management platform can send the luggage positioning information of the customer to a customer mobile terminal of the customer in time, so that the customer can conveniently and quickly find the luggage on the conveyor belt, and the situation of mistaking caused by identical appearance of the luggage is avoided.
Description
Technical Field
The invention relates to the field of intelligent management of baggage, in particular to a method for managing a baggage mobile intelligent grid network.
Background
In the line Li Tuoyun, the checked-in baggage is generally transported by a conveyor belt, and then distinguished by the owner (or customer) of the baggage according to the appearance of the baggage, such as color or shape, to identify the baggage in a far viewing distance range, and then the baggage is carried close and then carried away.
However, such conventional conveyor-based baggage transportation methods currently are not only difficult for the owners of baggage to recognize their own baggage on the moving conveyor in time, but also often cause mishandling due to the same appearance of their own baggage as that of others, causing great trouble to users, others, and baggage carriers.
Disclosure of Invention
The invention aims to provide a luggage mobile intelligent grid network management method aiming at the prior art.
The technical scheme adopted for solving the technical problems is as follows: a baggage mobile intelligent grid network management method, comprising the steps of:
step 1, a plurality of sensor nodes are arranged on a luggage conveyor belt in advance according to preset interval positions, and position coordinate information of each sensor node is obtained; wherein the total number of sensor nodes on the baggage conveyor is marked as M, and the mth sensor node on the baggage conveyor is marked as CR m M is more than or equal to 1 and less than or equal to M, and sensor node CR m Is marked as (1)
Each sensor node is positioned in a plane rectangular coordinate system XOY which is formed by taking the center of the baggage conveyor belt as an origin, taking the width direction of the baggage conveyor belt as an X axis and taking the horizontal direction vertical to the X axis as a Y axis, and passing through the origin;
step 2, embedding passive non-contact tags capable of reading built-in information by each sensor node on the baggage to be moved into the baggage conveyor belt; wherein the total number of baggage to be moved into the baggage conveyor is denoted by N, and the passive non-contact tag embedded in the nth baggage to be moved into the baggage conveyor is denoted by CU n N is more than or equal to 1 and less than or equal to N; any sensor node on the luggage conveyor belt can read luggage information in any passive non-contact 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 conveyor belt and the position coordinate information of each sensor node; wherein the total number of the sensing node Grid areas is marked as K, and the kth sensing node Grid area is marked as Grid k ，1≤k≤K：
wherein ,
representing the comparison value->
Performing rounding calculation, wherein alpha is a numerical value alpha 1 And the value alpha 2 Minimum value of->
Indicating that the distance from the origin O is larger than a preset threshold +.>
Is provided for the total number of all sensing nodes,
indicating that the distance from origin O is at a preset threshold +.>
And threshold->
The total number of all sensing nodes in between;
step 4, obtaining the number of the sensor nodes in each sensor node grid area according to the total number of the sensor nodes on the luggage conveyor belt and the total number of the obtained sensor node grid areas; wherein, the sensing node Grid area Grid k The number of sensor nodes within is marked as
Step 5, selecting a sensor node closest to the origin point from all the 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 the grid area of each sensing node start the reading detection of the passive non-contact label in real time;
step 7, when 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, the baggage management platform receives and displays the baggage positioning information sent by each beacon node in real time.
Of course, in order to facilitate the customer to locate the own 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 following steps: the baggage management platform establishes communication connection with the client mobile terminal and transmits baggage positioning information of a client corresponding to the client mobile terminal.
In the baggage mobile intelligent grid network management method, a customer needs to log in the baggage information belonging to the customer and located on the conveyor belt at the 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, the passive non-contact type sensor nodes capable of reading 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 selected beacon nodes send the detected luggage positioning information to the luggage management platform together, so that the luggage management platform can conveniently receive and store the luggage positioning information in time, then a customer needs to log in own luggage information at the luggage management platform in advance, the luggage management platform can timely send the luggage positioning information of the customer to the customer mobile terminal of the customer, and accordingly the customer can conveniently and rapidly find own luggage on the conveyor belt, and the situation of mistaking caused by identical appearance of the luggage is avoided.
Drawings
Fig. 1 is a flowchart of a baggage mobile intelligent mesh 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 embodiments of the drawings.
Referring to fig. 1, the present embodiment provides a baggage mobile intelligent mesh network management method, which includes the following steps:
step 1, a plurality of sensor nodes are arranged on a luggage conveyor belt in advance according to preset interval positions, and position coordinate information of each sensor node is obtained; wherein the total number of sensor nodes on the baggage conveyor is marked as M, and the mth sensor node on the baggage conveyor is marked as CR m M is more than or equal to 1 and less than or equal to M, and sensor node CR m Is marked as (1)
Each sensor node is positioned in a plane rectangular coordinate system XOY which is formed by taking the center of the baggage conveyor belt as an origin, taking the width direction of the baggage conveyor belt as an X axis and taking the horizontal direction vertical to the X axis as a Y axis, and passing through the origin; of course, the value M here is preferably set to an even number;
step 2, embedding passive non-contact tags capable of reading built-in information by each sensor node on the baggage to be moved into the baggage conveyor belt; wherein the total number of baggage to be moved into the baggage conveyor is denoted by N, and the passive non-contact tag embedded in the nth baggage to be moved into the baggage conveyor is denoted by CU n N is more than or equal to 1 and less than or equal to N; any sensor node on the luggage conveyor belt can read luggage information in any passive non-contact tag;
step 3, according to the total number of sensor nodes on the baggage conveyor beltForming sensing node grid areas respectively comprising a plurality of sensor nodes by measuring and the position coordinate information of each sensor node; wherein the total number of the sensing node Grid areas is marked as K, and the kth sensing node Grid area is marked as Grid k ，1≤k≤K：
wherein ,
representing the comparison value->
Performing rounding calculation, wherein alpha is a numerical value alpha 1 And the value alpha 2 Is selected from the group consisting of a minimum value of,
indicating that the distance from the origin O is larger than a preset threshold +.>
Is provided for the total number of all sensing nodes,
indicating that the distance from origin O is at a preset threshold +.>
And threshold->
The total number of all sensing nodes in between; preset threshold->
And threshold value/>
Are all constant;
step 4, obtaining the number of the sensor nodes in each sensor node grid area according to the total number of the sensor nodes on the luggage conveyor belt and the total number of the obtained sensor node grid areas; wherein, the sensing node Grid area Grid k The number of sensor nodes within is marked as
Step 5, selecting a sensor node closest to the origin point O from all the 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 the grid area of each sensing node start the reading detection of the passive non-contact label in real time;
step 7, when 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, the baggage management platform receives and displays the baggage positioning information sent by each beacon node in real time. The luggage management platform can establish communication connection with the 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 his own luggage information on the conveyor belt beforehand at the luggage management platform by means of his own customer mobile terminal.
According to the luggage mobile intelligent network management method, the plurality of sensor nodes which can read passive non-contact tag information of luggage are arranged on the conveyor belt in advance, the sensor nodes are divided into the 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 together by the selected beacon node, the luggage management platform is convenient to receive and store the luggage positioning information in time, then a customer needs to log in own luggage information at the luggage management platform in advance, the luggage management platform can timely send the luggage positioning information of the customer to the customer mobile terminal of the customer, so that the customer can conveniently and quickly find the luggage on the conveyor belt, and the situation of mistaking caused by identical appearance of the luggage is avoided.
While the preferred embodiments of the present invention have been described in detail, it is to be clearly understood that the same may be varied in many ways by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (1)
1. A baggage mobile intelligent grid network management method, comprising the steps of:
step 1, a plurality of sensor nodes are arranged on a luggage conveyor belt in advance according to preset interval positions, and position coordinate information of each sensor node is obtained; wherein the total number of sensor nodes on the baggage conveyor is marked as M, and the mth sensor node on the baggage conveyor is marked as CR m M is more than or equal to 1 and less than or equal to M, and sensor node CR m Is marked as (1)
Each sensor node is positioned in a plane rectangular coordinate system XOY which is formed by taking the center of the baggage conveyor belt as an origin, taking the width direction of the baggage conveyor belt as an X axis and taking the horizontal direction vertical to the X axis as a Y axis, and passing through the origin;
step 2, embedding energy quilt on the baggage to be moved into the baggage conveyorEach sensor node reads a passive non-contact tag with built-in information; wherein the total number of baggage to be moved into the baggage conveyor is denoted by N, and the passive non-contact tag embedded in the nth baggage to be moved into the baggage conveyor is denoted by CU n N is more than or equal to 1 and less than or equal to N; any sensor node on the luggage conveyor belt can read luggage information in any passive non-contact 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 conveyor belt and the position coordinate information of each sensor node; wherein the total number of the sensing node Grid areas is marked as K, and the kth sensing node Grid area is marked as Grid k ，1≤k≤K：
wherein ,
representing the comparison value->
Performing rounding calculation, wherein alpha is a numerical value alpha 1 And the value alpha 2 Is selected from the group consisting of a minimum value of,
indicating that the distance from the origin O is larger than a preset threshold +.>
Is provided for the total number of all sensing nodes,
indicating that the distance from origin O is at a preset threshold +.>
And threshold->
The total number of all sensing nodes in between;
step 4, obtaining the number of the sensor nodes in each sensor node grid area according to the total number of the sensor nodes on the luggage conveyor belt and the total number of the obtained sensor node grid areas;
step 5, selecting a sensor node closest to the origin point from all the 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 the grid area of each sensing node start the reading detection of the passive non-contact label in real time;
step 7, when 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;
step 8, the baggage management platform receives and displays the baggage positioning information sent by each beacon node in real time;
the luggage management platform establishes communication connection with the client mobile terminal and sends luggage positioning information of a client corresponding to the client mobile terminal; wherein, the customer logs in the luggage information which belongs to the customer and is positioned on the conveyor belt by utilizing the customer mobile terminal in advance at the luggage management platform.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010505133.XA CN111918231B (en) | 2020-06-05 | 2020-06-05 | Luggage mobile intelligent grid network management method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010505133.XA CN111918231B (en) | 2020-06-05 | 2020-06-05 | Luggage mobile intelligent grid network management method |
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| CN111918231B true CN111918231B (en) | 2023-05-02 |
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| 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 |
Citations (3)
| 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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2020
- 2020-06-05 CN CN202010505133.XA patent/CN111918231B/en active Active
Patent Citations (3)
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 张子豪等.机场行李自动分拣系统设计与开发.《机械设计与制造工程》.2020,第49卷(第1期),第47-51页. * |
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