CN205563630U - Based on scenic spot trip passenger flow volume control and recommended system under cloud environment - Google Patents

Based on scenic spot trip passenger flow volume control and recommended system under cloud environment Download PDF

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CN205563630U
CN205563630U CN201620228499.6U CN201620228499U CN205563630U CN 205563630 U CN205563630 U CN 205563630U CN 201620228499 U CN201620228499 U CN 201620228499U CN 205563630 U CN205563630 U CN 205563630U
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scenic spot
spot
traffic monitoring
data
terminal
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晏勇
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ABA Teachers University
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ABA Teachers University
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Abstract

The utility model belongs to electronic information monitors the field, concretely relates to based on scenic spot trip passenger flow volume control and recommended system under cloud environment, read ware, super flow alarm, display terminal, flow monitor terminal treater, scenic spot cloud recommendation service ware and terminal mobile device including RFID electronics admission ticket, RFID. The utility model discloses a terminal mobile device and wireless WIFI's mode realizes swimming passenger flow volume real -time query and issue between the sight spot of scenic spot, initiatively recommend the scenic spot sight spot, the problem of scenic spot sight spot trip passenger flow volume information wireless data transmission is solved, transmission through wireless data between the sight spot has improved the visitor and has dredged, the reposition of redundant personnel ability, the sight spot is recommended for the visitor to the initiative according to trip passenger flow volume, plan best touring line, realize light touring, also be applicable to simultaneously various large -scale exhibitions stream of people buret reason and control, and application range is wide.

Description

A kind of based on the monitoring of scenic spot tourist flow and commending system under cloud environment
Technical field
The utility model belongs to electronic information monitoring field, is specifically related to one and supervises based on scenic spot tourist flow under cloud environment Control and commending system.
Background technology
Along with growth in the living standard, people more pursue spiritual demand and quality of the life, tourism become leisure, amusement, The important way loosened, part scenic spot increases in specific time visitor's number blowout formula, and scenic spot human and material resources resource-constrained is led Causing the paralysis of the facility such as traffic, network, service quality declines;Social event is even developed into tourist information is asymmetric in scenic spot, makes Become serious consequence.
Some scenic spots use artificial calculating to sell admission ticket mode and monitor tourist flow, but which exists certain lacking Falling into, do not use intellectually and automatically technical management, monitoring scenic spot visitor's number, statistics visitor's mode is simple, rough, it is impossible to Understand the real-time tourist flow of scenic area and scenic spot and number;It is not set up scenic spot video monitoring system to transfer sight spot in real time and dynamically monitor and regard Frequently image, does not knows about accident field condition, processes accident delay of response, passive.
Some scenic spots use the mode installing camera to monitor tourist flow, but the method intellectually and automatically degree Not, visitor is not had to surpass flow early warning system, it is impossible to realize whole scenic spot and monitor without dead angle;Also not according to tourist flow actively Recommend sight spot for visitor, plan optimal touring line, avoid from source visitor to flock together phenomenon, improve Tourist satisfaction, reduce each Class accident.
Utility model content
For the problems referred to above, the utility model provides the tourist flow monitoring of a kind of scenic spot of offer and commending system, mainly In order to solve scenic spot tourist flow to be monitored in real time and surpasses flow early warning, and then visitor is made to obtain recommending scenery spot index in real time Technical problem.
For achieving the above object, the utility model adopts the following technical scheme that
With commending system, a kind of monitoring based on scenic spot tourist flow under cloud environment includes that RFID electronic entrance ticket, RFID read Device, super flow alarm, display terminal, traffic monitoring terminal handler, scenic spot cloud recommendation server and terminal mobile device;Institute State RFID reader and read RFID electronic entrance ticket information;Described RFID reader, super flow alarm, display terminal and described stream Amount monitor terminal processor connects;RFID reader in real time by data feedback to traffic monitoring terminal handler;Terminal moves and sets For visitor's data are fed back to traffic monitoring terminal handler by scenic spot cloud recommendation server;Described traffic monitoring terminal processes After device processes the data of RFID reader and terminal mobile device, index is recommended in output, and recommendation index is uploaded to scenic spot cloud pushes away Recommend server, and then feed back to visitor;Traffic monitoring terminal handler sets early warning value, when RFID reader feeds back to flow prison The sight spot flow of the people of control terminal processor, time after traffic monitoring terminal handler analyzes and processes beyond early warning value, sends immediately Alarm command is to scenic spot cloud recommendation server, and described scenic spot cloud recommendation server is according to the early warning information vector monitor terminal uploaded Processor instruction is called super flow alarm and sends early warning, and cloud recommendation server in scenic spot transfers concrete sight spot information simultaneously, adopts Take counter-measure.
Preferably, the data of described traffic monitoring terminal handler process RFID reader and terminal mobile device include: By RFID reader by reading the tourist flow data of RFID electronic entrance ticket acquisition, by the acquisition of visitor's terminal mobile device GPS location data, the time affluence degree estimated by traffic monitoring terminal handler with destination distance by visitor current location, The Tourist satisfaction obtained by terminal mobile device feedback, data above is exported after being added up by traffic monitoring terminal handler and pushes away Recommend index.
Preferably, a described traffic monitoring terminal handler is installed at each sight spot at scenic spot;Each sight spot peace at scenic spot Fill one or more described RFID reader.
Preferably, scenic spot network topology uses star structure, and scenic spot cloud recommendation server manages as Network Data Control Center, down data links connects each sight spot, scenic spot, and up data link connects Internet, can not directly communicate between sight spot, Data have to pass through scenic spot and recommend Cloud Server and authorize the communication of other sight spots.
Preferably, under described cloud environment, tourist flow monitoring in scenic spot sets up WiFi system with commending system at whole scenic spot, Scenic spot cloud recommendation server connects Internet, and visitor utilizes terminal mobile device to log in scenic spot cloud recommendation server real-time query Each recommending scenery spot index.
Preferably, traffic monitoring terminal handler embedded WIFI transceiver;Display terminal is 4.3 cun of TFT LCD; Super flow alarm includes buzzer and/or light emitting diode.
Preferably, described traffic monitoring terminal handler also includes matrix keyboard, memory.
Preferably, described traffic monitoring terminal handler has jtag interface.
Preferably, described terminal mobile device is mobile phone or panel computer.
The utility model obtains and provides the benefit that: by utilizing RFID technique to originate as data on flows, move with terminal The mode that dynamic equipment or webpage are connected with WIFI realizes tourist flow real-time query and issue between scenic area and scenic spot, actively recommends scenic spot Sight spot, by the transmission of wireless data between sight spot improve visitor dredge, separation capacity;It is actively that visitor pushes away according to tourist flow Recommend sight spot, plan optimal touring line, it is achieved easily go on a tour;It is simultaneously applicable to the management of various large-scale exhibitions flow of the people and control System, the most applied widely, and low cost.
Accompanying drawing explanation
Fig. 1 is system composition diagram of the present utility model.
Detailed description of the invention
Below in conjunction with the accompanying drawings and specific embodiment, the utility model is described further.
Embodiment one one kinds is based on the monitoring of scenic spot tourist flow and commending system under cloud environment
For making the purpose of the utility model embodiment, technical scheme and advantage clearer, new below in conjunction with this practicality Accompanying drawing in type embodiment, is clearly and completely described the technical scheme in the utility model embodiment.
As it is shown in figure 1, the utility model includes RFID electricity based on the monitoring of scenic spot tourist flow and commending system under cloud environment Cervical orifice of uterus ticket, RFID reader, super flow alarm, display terminal, traffic monitoring terminal handler, scenic spot cloud recommendation server and Terminal mobile device;Described RFID reader reads RFID electronic entrance ticket information;Described RFID reader, super flow alarm, Display terminal and described traffic monitoring terminal handler connect;RFID reader in real time by data feedback to traffic monitoring end Reason device;Visitor's data are fed back to traffic monitoring terminal handler by scenic spot cloud recommendation server by terminal mobile device;Described After the data of traffic monitoring terminal handler process RFID reader and terminal mobile device, index is recommended in output, and recommendation is referred to Number uploads to scenic spot cloud recommendation server, and then feeds back to visitor;Described traffic monitoring terminal handler sets early warning value, when RFID reader feeds back to the sight spot flow of the people of traffic monitoring terminal handler, after traffic monitoring terminal handler analyzes and processes During beyond early warning value, transmission alarm command is to scenic spot cloud recommendation server immediately, and described scenic spot cloud recommendation server is according to uploading Early warning information vector monitor terminal processor instruction call super flow alarm and send early warning, scenic spot cloud recommendation service simultaneously Concrete sight spot information transferred by device, takes counter-measure.
Specifically, a described traffic monitoring terminal handler is installed at each sight spot at scenic spot;Each sight spot peace at scenic spot Fill one or more described RFID reader.
System above is in addition to using mobile network, and optimization, under described cloud environment, scenic spot tourist flow monitors and recommends System sets up WiFi system at whole scenic spot, and scenic spot cloud recommendation server connects Internet, and visitor utilizes terminal mobile device Log in scenic spot each recommending scenery spot index of cloud recommendation server real-time query.And then, the embedded WIFI of traffic monitoring terminal handler Transceiver.
It addition, display terminal is 4.3 cun of TFT LCD, inquires about and show the current tourist flow in each sight spot, scenic spot Situation;Super flow alarm includes buzzer and/or light emitting diode.
Described traffic monitoring terminal handler also includes matrix keyboard, memory.Matrix keyboard is traffic monitoring end The reason man-machine data exchange interface of device, is used for arranging, checking the various data in sight spot, such as currently flow of the people, heap(ed) capacity etc., simultaneously Transfer other sight spot states;Memory is used for storing the various data in sight spot, such as current flow of the people, heap(ed) capacity, historical high Capacity.
Described monitoring based on scenic spot tourist flow under cloud environment also includes jtag interface with commending system, with traffic monitoring eventually End processor connects;By jtag interface, flow monitor terminal processor can be debugged, it is also possible to update traffic monitoring The firmware etc. of terminal handler.Described individual mobile terminal equipment is mobile phone or panel computer.
Particular hardware and system composition:
Tourist flow monitor terminal processor uses Texas Instruments's embedded independent Wi-Fi wireless transceiver core of first item Sheet CC3200, based on ARM Cortex-M4 kernel, built-in Simple Link single-chip wireless Wi-Fi network processing subsystem. CC3200 includes: application MCU subsystem, Wi-Fi network processor subsystem, power management subsystem.Hardware controls uses TI Company CC3200, the flush bonding processor of embedded WIFI transceiver, volume is little, network control node is increased or decreased convenient.
RFID reader uses Texas Instruments's contactless read-write chip of TRF7970A high frequency, embedded MSP430 micro-control Device kernel processed, 2.7V-5V power voltage supply, 13.56MHz high frequency carrier, compatible ISO 14443A and high speed MIFARE card, support UART serial communication, SPI communication, I2C communication, embedded 128Kbytes data transmit-receive FIFO, QFN32 encapsulate.
Display terminal is 4.3 cun of TFT LCD MzTH43V10_WTP, and compatible 3.3V with 5V powers, and SPI serial is led to Letter, carries the ASCII character character libary of four kinds of font sizes and the GUI that substantially draws, supports 480X272 dot matrix 6.5 ten thousand look dot pattern Display, GBK2312 Chinese character base, BMP bitmap, ASCII character character libary, 8M quickly accesses picture Flash, and display scenic spot is each in real time The state of kind.
Scenic spot cloud recommendation server can use Ali's Cloud Server based on mobile phone A PP.
Tourist flow monitor terminal processor is with CC3200 flush bonding processor as core, and RFID reader TRF7970A is united Meter visitor passes in and out sight spot quantity, and Wi-Fi sends when foreground point real-time status data, receives other scene data status datas, and 4.3 Very little liquid crystal display scenic spot real-time status, visitor's number is reported to the police after surpassing flow.
In the present system, tourist flow monitor terminal utilizes RFID technique, uses RFID reader to read RFID electronic gate Ticket, it is achieved monitoring scenic area and scenic spot tourist flow in real time, by scenic area and scenic spot traffic monitoring terminal handler, display in real time is current each Individual sight spot tourist flow;Recommend according to information outputs such as sight spot tourist flow, visitor location, time affluence degree, Tourist satisfactions Index, is actively that visitor recommends tourist attractions;Sight spot traffic monitoring terminal handler and scenic spot cloud recommendation server pass through optical fiber Network completes teledata exchange, and remotely monitoring, reception tourist flow data also resolve, flow over range early warning.
In the present system, the whole network topology in scenic spot uses star structure, and scenic spot cloud recommendation server is as network data Supervision and management center, down data links connects each sight spot, scenic spot, and up data link connects Internet, can not between sight spot Directly communication, data have to pass through scenic spot and recommend Cloud Server and authorize the communication of other sight spots.
Sight spot uses fiber optic network with scenic spot data communication core network, and traffic monitoring terminal handler in sight spot uses WIFI Uploading the most local AP node of data, upstream data is converged to scenic spot and recommends Cloud Server, connects Internet by fiber optic network;Scape District recommend Cloud Server by after other sight spot information Data Analysis through the descending local AP node of fiber optic network, send sight spot.WIFI Wireless Data Transmission is strong in coverage range devices mobility, arbitrarily adds and subtracts node, it is simple to process all kinds of accident.
Embodiment two utilizes native system to realize scenic spot tourist flow monitoring and recommend
Traffic monitoring terminal handler described in native system processes the data of RFID reader and terminal mobile device and includes: By RFID reader by reading the tourist flow data of RFID electronic entrance ticket acquisition, by the acquisition of visitor's terminal mobile device GPS location data, the time affluence degree estimated by traffic monitoring terminal handler with destination distance by visitor current location, The Tourist satisfaction obtained by terminal mobile device feedback, data above is exported after being added up by traffic monitoring terminal handler and pushes away Recommend index.
Calculate combined recommendation refer to according to sight spot tourist flow, visitor location, time affluence degree, four aspects of Tourist satisfaction Number, it may be assumed that
Definition 1: recommend index RI to describe, and RI={SLIn, TRn, FSn}.
Definition 2: tourist flow TQ in sight spot describes, and TQ={TQ1, TQ2, TQ3 ... TQn} represents scenic spot difference scape The current visitor's real-time traffic of point.
Definition 3: carrying index SLI in space, sight spot describes, and SLI={SLI1, SLI2, SLI3 ... SLIn} represents Each sight spot, scenic spot current visitor bearing capacity;Wherein MSPn be scenic area and scenic spot can manned area, space, general sight spot carrying index SLIn is 0.8-2m2/ people, and according to 4A level scenic spot, water mill town, Aba Prefecture Wenchuan County, Sichuan Province actual conditions, space, sight spot maximum is held Carry index SLInmax=1.
Definition 4: visiting time affluence degree TR describes, and TR={TR1, TR2, TR3 ... TRn} represents different visitor's time Affluence degree.Time affluence degree TR is obtained indirectly by cellphone GPS location, calculates visitor current location and arrives TA needed for other sight spots, returns Time TTR, shown in visiting time affluence degree TR such as formula (1), VT represents visitor's visiting time. Wherein TRn∈[0.2,1]。
Definition 5: Tourist satisfaction FS describes, and FS={FS1, FS2, FS3 ... FSn} represents that different visitor completes Satisfaction after visit.
Commending system output includes early warning signal and recommends index, when sight spot visitor carrying index SLI < 1 sends early warning letter Number SSW, sight spot tourist flow is excessive, does not recommend visitor to go to sight spot at this;When time affluence degree TRn < 0.2 sends early warning signal SSW, does not recommend visitor's current time to go to sight spot at this.Commending system does not export early warning signal, calculates recommending scenery spot index RI, is actively that visitor recommends optimal sight spot, scenic spot, tour of making rational planning for.
In the present system, sight spot visitor's carrying index uses indirect method test, by sight spot tourist flow, calculates visitor Carrying index;According to visitor's current time, arrive sight spot time, visiting time, time of return calculating time affluence degree TRn;Survey Examination Tourist satisfaction FSn;Calculate and recommend index RIn.After tested, it is 0.8m when A sight spot carrying index2/ people, sight spot visitor flows Measure excessive, it is recommended that index is 0, do not recommend visitor to go to;B recommending scenery spot index is higher than C recommending scenery spot index, it is recommended that visitor goes to B sight spot, experimental data is consistent with actual conditions, accurate, tests data such as table 1.
Table 1 recommends index RIn to test tables of data
Native system not only realizes scenic area and scenic spot tourist flow monitoring automation with intelligent;And each sight spot, scenic spot WIFI Connect, i.e. can be with real-time query when foreground zone situation by the individual mobile device of visitor;More initiative recommend scenic spot scape for visitor Point, avoid from source crowded, flock together.This system is additionally favorable for scenic spot management, contingency management etc., promotes scenic spot service and visitor's body Test.
Above example only in order to the technical solution of the utility model to be described, is not intended to limit;Although with reference to aforementioned reality Execute example the utility model has been described in detail, it will be understood by those within the art that: it still can be to front State the technical scheme described in each embodiment to modify, or wherein portion of techniques feature is carried out equivalent;And these Amendment or replacement, do not make the essence of appropriate technical solution depart from spirit and the model of the utility model each embodiment technical scheme Enclose.

Claims (10)

1. one kind monitors and commending system based on scenic spot tourist flow under cloud environment, it is characterised in that: described based under cloud environment The monitoring of scenic spot tourist flow and commending system include RFID electronic entrance ticket, RFID reader, super flow alarm, display terminal, Traffic monitoring terminal handler, scenic spot cloud recommendation server and terminal mobile device;
Described RFID reader reads RFID electronic entrance ticket information;Described RFID reader, super flow alarm, display terminal and Described traffic monitoring terminal handler connects;RFID reader in real time by data feedback to traffic monitoring terminal handler;Terminal Visitor's data are fed back to traffic monitoring terminal handler by scenic spot cloud recommendation server by mobile device;Described traffic monitoring is eventually After the data of end processor process RFID reader and terminal mobile device, index is recommended in output, and recommendation index is uploaded to scape District's cloud recommendation server, and then feed back to visitor;
Described traffic monitoring terminal handler sets early warning value, when RFID reader feeds back to the scape of traffic monitoring terminal handler Point flow of the people, time after traffic monitoring terminal handler analyzes and processes beyond early warning value, sends alarm command immediately to scenic spot cloud Recommendation server, described scenic spot cloud recommendation server calls super according to the early warning information vector monitor terminal processor instruction uploaded Flow alarm also sends early warning, and cloud recommendation server in scenic spot transfers concrete sight spot information simultaneously, takes counter-measure.
It is the most according to claim 1 based on the monitoring of scenic spot tourist flow and commending system under cloud environment, it is characterised in that: institute The data stating traffic monitoring terminal handler process RFID reader and terminal mobile device include: by RFID reader by reading Take the tourist flow data of RFID electronic entrance ticket acquisition, visitor's terminal mobile device GPS location data obtained, worked as by visitor Time affluence degree that front position is estimated by traffic monitoring terminal handler with destination distance, obtained by terminal mobile device feedback The Tourist satisfaction taken, after data above is added up by traffic monitoring terminal handler, index is recommended in output.
3. according to monitoring and commending system based on scenic spot tourist flow under cloud environment according to any one of claim 1,2, its It is characterised by: a described traffic monitoring terminal handler is installed at each sight spot at scenic spot;Each sight spot at scenic spot installs one Or multiple described RFID reader.
It is the most according to claim 3 based on the monitoring of scenic spot tourist flow and commending system under cloud environment, it is characterised in that: scape District's network topology uses star structure, and scenic spot cloud recommendation server is as Network Data Control administrative center, down data links Connecting each sight spot, scenic spot, up data link connects Internet, can not directly communicate between sight spot, and data have to pass through scenic spot and push away Recommend Cloud Server and authorize the communication of other sight spots.
5. according to monitoring and commending system based on scenic spot tourist flow under cloud environment according to any one of claim 1,2,4, It is characterized in that: under described cloud environment, tourist flow monitoring in scenic spot sets up WiFi system, scenic spot with commending system at whole scenic spot Cloud recommendation server connects Internet, visitor utilize terminal mobile device log in scenic spot cloud recommendation server real-time query each Recommending scenery spot index.
It is the most according to claim 5 based on the monitoring of scenic spot tourist flow and commending system under cloud environment, it is characterised in that: institute State traffic monitoring terminal handler embedded WIFI transceiver.
7. according to monitoring based on scenic spot tourist flow under cloud environment and recommending system according to any one of claim 1,2,4,6 System, it is characterised in that: described display terminal is 4.3 cun of TFT LCD;Described super flow alarm include buzzer and/ Or light emitting diode.
8. according to monitoring based on scenic spot tourist flow under cloud environment and recommending system according to any one of claim 1,2,4,6 System, it is characterised in that: described traffic monitoring terminal handler also includes matrix keyboard, memory.
9. according to monitoring based on scenic spot tourist flow under cloud environment and recommending system according to any one of claim 1,2,4,6 System, it is characterised in that: described traffic monitoring terminal handler has JTAG interface.
10. according to monitoring based on scenic spot tourist flow under cloud environment and recommending system according to any one of claim 1,2,4,6 System, it is characterised in that: described terminal mobile device is mobile phone or panel computer.
CN201620228499.6U 2016-03-19 2016-03-19 Based on scenic spot trip passenger flow volume control and recommended system under cloud environment Active CN205563630U (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108053153A (en) * 2018-02-22 2018-05-18 海南师范大学 A kind of ecotourism environment bearing capacity early warning system
CN109711499A (en) * 2018-12-27 2019-05-03 广州欧科信息技术股份有限公司 Tourism unit visit from visitors statistical system and application method based on Internet of Things
CN109886096A (en) * 2019-01-09 2019-06-14 武汉中联智诚科技有限公司 A kind of supervision of smart travel and safety emergency management interlinked command system
CN110020898A (en) * 2019-04-19 2019-07-16 梅州市兴泰信息工程有限公司 Travel information recommended method, device and server based on big data
CN111178721A (en) * 2019-12-20 2020-05-19 长沙市新时科技发展有限公司 Intelligent tourism system
CN111241942A (en) * 2019-12-31 2020-06-05 宁波宁工交通工程设计咨询有限公司 Tourism signboard indicating system and method
CN113674537A (en) * 2021-07-02 2021-11-19 宁德师范学院 City tourism visitor intelligence split flow system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108053153A (en) * 2018-02-22 2018-05-18 海南师范大学 A kind of ecotourism environment bearing capacity early warning system
CN109711499A (en) * 2018-12-27 2019-05-03 广州欧科信息技术股份有限公司 Tourism unit visit from visitors statistical system and application method based on Internet of Things
CN109886096A (en) * 2019-01-09 2019-06-14 武汉中联智诚科技有限公司 A kind of supervision of smart travel and safety emergency management interlinked command system
CN109886096B (en) * 2019-01-09 2021-09-14 武汉中联智诚科技有限公司 Wisdom tourism supervision and safe emergency management linkage command system
CN110020898A (en) * 2019-04-19 2019-07-16 梅州市兴泰信息工程有限公司 Travel information recommended method, device and server based on big data
CN111178721A (en) * 2019-12-20 2020-05-19 长沙市新时科技发展有限公司 Intelligent tourism system
CN111241942A (en) * 2019-12-31 2020-06-05 宁波宁工交通工程设计咨询有限公司 Tourism signboard indicating system and method
CN113674537A (en) * 2021-07-02 2021-11-19 宁德师范学院 City tourism visitor intelligence split flow system

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