CN106027678A - Scenic region tourist flow real-time statistics and tourist flow over-limit automatic early warning system and method - Google Patents
Scenic region tourist flow real-time statistics and tourist flow over-limit automatic early warning system and method Download PDFInfo
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Abstract
The invention provides a scenic region tourist flow real-time statistics and tourist flow over-limit automatic early warning system and method. The method comprises the following steps that: an intelligent terminal receives scenic region and scenic spot identification code information broadcast by a Bluetooth base station through APP software, records time stamp information, and generates touring space-time data of tourists at the same time; a cloud server receives the touring space-time data of the tourists transmitted by the intelligent terminal, and stores and processes the received touring space-time data to obtain real-time tourist flow data of a scenic region and scenic spots and automatically generate early warning information; and the intelligent terminal can inquire real-time tourist flow of the scenic spots in the scenic region from the cloud server through wireless Internet, and automatically receives the early warning information when the tourist flow in the scenic spots exceeds a limit. Through adoption of the system and the method, a scenic region tourist flow real-time statistics and tourist flow over-limit automatic early warning function is realized, and an early warning about the tourists in a certain scenic spot in the scenic region can be given. The system and the method have the advantages of high management accuracy and relatively low cost.
Description
Technical field
The present invention relates to Embedded Application and mobile Internet applied technical field, be specifically related to a kind of scenic spot visitor's flow of the people real-time statistics and artificial abortion is transfinited automatic early-warning system and method.
Background technology
Fast development along with China's tourist industry, each Famous sceneries has attracted large number of visitor to visit, bring difficulty the most also to the safety management at scenic spot, such as, during New Year's Day in 2015, masses' swarm and jostlement event that Bund in Shanghai occurs causes various circles of society's extensive concern.To this end, National Tourism Administration issues " directive/guide appraised and decided by scenic spot maximum bearing capacity ", it is desirable to each big scenic spot calculates visitor's maximum bearing capacity, and formulates relevant tourist flow control prediction scheme.Scenic spot surpasses flow attends passengers is not rare phenomenon, during annual " 11 " golden week, all there is " being packed " phenomenon in scenic spot, many ground, meanwhile, in scenic spot, visitor also cannot understand Nei Ge sight spot, scenic spot visitor's real time data and early warning information on one's own initiative by effective way thus evade potential risks in advance.Therefore provide the visitor's real time data inquiry of a kind of scenic spot and pre-warning management system and method the most necessary.
The scheme that scenic spot visitor carries out people flow rate statistical at present is to register cell phone apparatus quantity statistics mode based on scenic spot access control equipment statistical and mobile network base station mostly；All there is the problem that statistical accuracy is poor in two kinds of statisticals, it is impossible to accurately obtains visitor's flow of the people at Nei Ge sight spot, scenic spot.And visitor's flow of the people super-limit prewarning Managed Solution in scenic spot is typically used broadcast transmission and mobile phone short messages, the program cannot carry out early warning for visitor in certain sight spot in scenic spot, and management degree of accuracy is inadequate, and relatively costly.
Summary of the invention
It is an object of the invention to provide a kind of scenic spot visitor's flow of the people real-time statistics and artificial abortion is transfinited automatic early-warning system and method, with the problem solving to propose in above-mentioned background technology.
For achieving the above object, the present invention provides a kind of scenic spot visitor's flow of the people real-time statistics and artificial abortion to transfinite automatic early-warning system, and this system includes: four parts such as intelligent terminal, Cloud Server and the scenic spot remote management terminal that some low-power consumption Bluetooth base. station of being fixedly mounted in scenic spot in each sight spot, visitor carry with；Described Cloud Server is connected by the Internet with described intelligent terminal and described scenic spot remote management terminal.
Described low-power consumption Bluetooth base. station includes microprocessor, power supply circuits, memorizer, Bluetooth antenna, interface circuit parts；At least one low-power consumption Bluetooth base. station and one unique location identifier code of each base station distribution need to be installed in each sight spot；The described low-power consumption Bluetooth base. station i.e. scenic area and scenic spot identification code of fixed time broadcast wireless blue tooth position data, provides scenic spot positional information with the described intelligent terminal carried with to visitor.
Described intelligent terminal receives the scenic area and scenic spot identification code of each sight spot low-power consumption Bluetooth base. station broadcast by wireless blue tooth protocol, and records the timestamp gathering scenic area and scenic spot identification code；Described scenic area and scenic spot identification code and timestamp constitute the visit space-time data of visitor；Described intelligent terminal uploads this space-time data with Fixed Time Interval to Cloud Server by wireless network, simultaneously by wireless internet connection Cloud Server, inquires about and obtains scenic spot and each sight spot real-time flow of the people data and receive early warning information when flow of the people transfinites.
The visit space-time data of the visitor that described intelligent terminal sends is received and stored by described Cloud Server, sends early warning information to described intelligent terminal simultaneously；The visit space-time data preserved can be for further processing by the data mining program of described Cloud Server, according to described scenic area and scenic spot identification code and timestamp can calculate each sight spot in Jing Chu district real-time flow of the people and automatically the sight spot exceeding restriction number is generated real-time early warning information and in this sight spot described intelligent terminal send this early warning information by wireless Internet.
The present invention also provides for a kind of scenic spot visitor's flow of the people real-time statistics and artificial abortion is transfinited automatic early warning method, the method includes: intelligent terminal generates the visit space-time data of visitor by the scenic spot of Bluetooth base. station broadcast described in APP software receipt and sight spot identification code information, logging timestamp information simultaneously；The visitor that described cloud server intelligent terminal sends goes sight-seeing space-time data and stores and process, and draws in scenic spot and each sight spot flow of the people data automatically generate early warning information in real time；Described intelligent terminal can inquire about described Cloud Server by wireless Internet and obtain the real-time flow of the people in each sight spot in scenic spot, and the automatic reception early warning information when sight spot flow of the people transfinites；Scenic spot management side connects described Cloud Server by described remote management terminal and arranges scenic area and scenic spot flow of the people early warning limit and early warning information, can inquire about visitor's real-time flow of the people data in Nei Ge sight spot, each scenic spot simultaneously.
Described a kind of scenic spot visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early warning method, including following operating procedure:
Before step 1 system normally uses, first by pre-assigned scenic spot and sight spot mark code, configuration parameter writes described Bluetooth base. station, and installs described Bluetooth base. station to each corresponding sight spot in scenic spot；Preserve the file of scenic spot and sight spot identification code and scenic area and scenic spot title corresponding relation at described Cloud Server, and in data base, create the data table related preserving visit space-time data, follow-up for system；
Before step 2 visitor enters scenic spot, install and run APP software described intelligent terminal, open the Bluetooth antenna of described intelligent terminal；
When step 3 visitor enters scenic spot visit, described intelligent terminal will automatically obtain the position data of Bluetooth base. station broadcast in sight spot, receive scenic spot and sight spot identification code information logging timestamp information；Enclose the bluetooth device address of described intelligent terminal, network ip address information etc. simultaneously, constitute the visit space-time data of visitor；
Cloud Server described in step 4 is sent, by each described intelligent terminal, the visitor returned in receiving scenic spot and goes sight-seeing space-time data, it is achieved in scenic spot, all visitors go sight-seeing the collection of space-time data, storage function.Described Cloud Server data processor processes according to the different information classifications in visit space-time data, calculate real-time flow of the people in each sight spot, described Cloud Server is to the real-time flow of the people in scenic spot and each sight spot and specified flow of the people multilevel iudge, automatically real-time to exceeding the sight spot generation limiting visitor's number early warning information, sends this early warning information by visitor in this sight spot of wireless Internet item；
Intelligent terminal described in step 5 can obtain the real-time flow of the people in each sight spot in scenic spot, and the automatic reception early warning information when sight spot flow of the people transfinites by Cloud Server described in wireless Internet active inquiry simultaneously；
Step 6 scenic spot management side connects described Cloud Server by described remote management terminal and arranges scenic area and scenic spot flow of the people early warning limit and early warning information, can inquire about visitor's real-time flow of the people data in Nei Ge sight spot, each scenic spot simultaneously.
Beneficial effect
The people flow rate statistical scheme at scenic spot uses low-power consumption bluetooth IBEACON protocol realization.IBEACON Bluetooth base. station deployment cost is low, power consumption is little, is susceptible to the interference of other equipment, easy for installation, can Fast Installation in indoor, grotto or outdoor sight spot, the Bluetooth signal quickly realizing Nei Ge sight spot, scenic spot covers, and not affects scenic spot natural environment.The signal effective coverage range of IBEACON Bluetooth base. station disclosure satisfy that the needs of the actually used scope in sight spot simultaneously.
The intelligent terminal that visitor carries with realizes the statistics of number as the collecting device going sight-seeing space-time data, utilizes the APP software of intelligent terminal's installation and operation to be automatically performed space-time data collection, transmission and the acquisition of scenic spot real-time messages.Whole process, without visitor's manual operation, brings any burden will not to the visit of visitor.
Intelligent terminal realizes visitor by the broadcast data of Bluetooth base. station in reception sight spot and goes sight-seeing the acquisition of positional information, it is ensured that the accuracy of each sight spot flow of the people data；Intelligent terminal records timestamp when obtaining Bluetooth base. station data, it is ensured that the real-time of each sight spot flow of the people data.Visitor goes sight-seeing the space-time data radio network information channel transmission by intelligent terminal simultaneously, it is ensured that safety, real-time and the low cost of data transmission.
Use mobile Internet or WLAN transmission scenic spot real-time management and early warning information, it is ensured that the real-time of scenic spot news release.Meanwhile, Cloud Server goes sight-seeing space-time data by the visitor of intelligent terminal, accurately identifies the visitor's identity in sight spot, it is achieved the accurate message of specific visitor group is pushed by scenic spot, improves scenic spot management efficiency and accuracy.
Use Cloud Server to go sight-seeing the collection of space-time data, scenic area and scenic spot flow of the people real-time statistics and the central module of flow of the people super-limit prewarning Message Processing as completing visitor, improve stability in the large and the reliability of system, and reduce system operation cost.Cloud Server uses the relevant information of database technology storage system, it is ensured that visitor goes sight-seeing safety and the operation ease of space-time data.
Accompanying drawing explanation
Fig. 1 is that space-time data auto acquisition system integrated connection figure is gone sight-seeing at scenic spot；
Fig. 2 is Bluetooth base. station hardware structure diagram；
Fig. 3 is intelligent terminal's space-time data product process figure；
Fig. 4 is intelligent terminal's space-time data transmission flow figure；
Fig. 5 is Cloud Server time-space data analysis flow chart；
Fig. 6 is Cloud Server scenic spot message processing flow-chart；
Fig. 7 is sight spot real-time people flow rate statistical method figure in scenic spot；
Fig. 8 is that flow of the people transfinites automatic early warning method figure.
Detailed description of the invention
Below in conjunction with specific embodiments and the drawings, the present invention is expanded on further.
It is a kind of scenic spot visit space-time data auto acquisition system integrated connection of the present invention refering to Fig. 1, including: four parts such as intelligent terminal, Cloud Server and the scenic spot remote management terminal that some low-power consumption Bluetooth base. station of being fixedly mounted in scenic spot in each sight spot, visitor carry with；Described Cloud Server is connected by the Internet with described intelligent terminal and described scenic spot remote management terminal.
Described intelligent terminal generates the visit space-time data of visitor by the scenic spot of Bluetooth base. station broadcast described in APP software receipt and sight spot identification code information, logging timestamp information simultaneously；The visitor that described cloud server intelligent terminal sends goes sight-seeing space-time data and stores and process, and draws in scenic spot and each sight spot flow of the people data automatically generate early warning information in real time；Described intelligent terminal can inquire about described Cloud Server by wireless Internet and obtain the real-time flow of the people in each sight spot in scenic spot, and the automatic reception early warning information when sight spot flow of the people transfinites；Scenic spot management side connects described Cloud Server by described remote management terminal and arranges scenic area and scenic spot flow of the people early warning limit and early warning information, can inquire about visitor's real-time flow of the people data in Nei Ge sight spot, each scenic spot simultaneously.
Preferably, described Bluetooth base. station uses low-power consumption bluetooth IBEACON agreement, uses this agreement advertisement frames mode to broadcast sight spot identification code.
Refering to the hardware that Fig. 2 is described Bluetooth base. station.The hardware of described Bluetooth base. station uses TI company CC2541 embedded microprocessor to be control core, and it is responsible for connecting Bluetooth transmission antenna, FLASH memory, serial bus interface and the parts such as power supply and power supply circuits.Bluetooth antenna is used for launching IBEACON protocol data；FLASH memory is used for preserving Bluetooth base. station and controls program and scenic spot and sight spot identification code；Serial bus interface is used for initial configuration Bluetooth base. station, scenic spot, sight spot identification code and base station configuration parameter is saved in FLASH memory.Base station configuration parameter is the time interval of base station broadcast blue-teeth data.Broadcast interval is the shortest, and the time delay that intelligent terminal obtains data is the shortest, but Bluetooth base. station power consumption is the biggest.Preferably, this interval is set to 800 milliseconds.Owing to the useful signal coverage distance of IBEACON Bluetooth protocol is up to 30 meters, it is possible to meet general sight spot and be actually needed.If single sight spot scope is beyond this distance, multiple Bluetooth base. station with identical sight spot identification code can be used, it is ensured that the Bluetooth signal coverage at sight spot simultaneously.Described Bluetooth base. station can select battery to power or cable power power supply mode, can select power supply mode according to sight spot power circuit situation when laying base station.
Described intelligent terminal carries with and is mounted with the smart mobile phone of native system APP software for visitor, and APP software is the application program based on Android or IOS.During visit, described intelligent terminal passes through the position data i.e. sight spot mark code of described Bluetooth base. station broadcast in Bluetooth antenna obtains sight spot automatically, goes sight-seeing space-time data together with information structure visitors such as timestamp, described intelligent terminal identity.The most described intelligent terminal by wireless 3G 4G mobile network or WIFI LAN this space-time data is uploaded described Cloud Server.
Preferably, described Cloud Server is built in PaaS Cloud Server.Described Cloud Server supports that MySQL database and PHP script perform function, it is possible to response to network protocol data bag.MySQL database for preserving the real-time flow of the people at each sight spot, scenic spot and specified visitor's quantity, scenic spot flow of the people super-limit prewarning message, visitor go sight-seeing the data such as space-time data, scenic area and scenic spot title and identification code.PHP shell script is for realizing the various process functions of Cloud Server.Concrete function includes that the reception of visitor's space-time data processes, and the real-time people flow rate statistical of scenic area and scenic spot, flow of the people transfinites automatic early-warning etc..
Scenic spot mark code is referred to as scenic spot ID, and sight spot identification code is referred to as sight spot ID, is respectively used to the different sight spots in system identification difference scenic spot.Scenic spot ID and sight spot ID is all by 2 byte representations, i.e. 8 bits/bytes in an embodiment.Major and the Minor formatted data in IBEACON agreement advertisement frames is used to represent scenic spot ID and sight spot ID respectively in an embodiment.Scenic spot ID, sight spot ID are distributed by systematic unity, and each scenic spot ID is unique, and in scenic spot, each sight spot ID is unique.Each ID value starts serial number from 0.Each outlet at scenic spot is also required to install a Bluetooth base. station in an embodiment, is used for judging that visitor leaves scenic spot.Therefore be the outlet distribution special sight spot ID at scenic spot for 0xFFFF, this value is hexadecimal representation.
Preferably, visitor going sight-seeing the analysis of behavior in order to realize system and processes function, each space-time data is by following information structure: described intelligent terminal's bluetooth equipment number, scenic spot ID, sight spot ID, described intelligent terminal network IP address and timestamp.Wherein said bluetooth equipment number is for intelligent terminal, i.e. visitor's identity described in system identification；Scenic spot ID and sight spot ID is for identifying the visit positional information of visitor；Described intelligent terminal network IP address communicates with visitor in scenic spot for described Cloud Server；Timestamp is then that described intelligent terminal obtains described Bluetooth base. station scenic spot, the time of sight spot ID, and this information cooperation position information is for scenic spot visit artificial abortion's quantitative analysis and process.
Preferably, described scenic spot remote management terminal can be PC or panel computer, logs in Cloud Server by browser and realizes management configuration and the scenic spot real-time flow of the people query function of system.Concrete function has: arrange the title at scenic spot and sight spot, arranges scenic spot and the specified flow of the people at sight spot and super-limit prewarning message content, arranges real-time people flow rate statistical task execution time interval, and provides the real-time flow of the people information inquiry etc. in scenic spot and each sight spot.
Preferably, visit space-time data is divided into generation and sends two tasks by the APP software of described intelligent terminal.Generation task is used for gathering, and merges and generates space-time data.Transmission task by computer network by this space-time data send to described Cloud Server preserve, obtain simultaneously the real-time flow of the people in the scenic spot on described Cloud Server and when flow of the people transfinites automatic reception early warning information.Two tasks concurrently perform, and APP software uses the message queue mode of intertask communication to realize space-time data transmission between two tasks.
It is that described intelligent terminal goes sight-seeing space-time data and specifically generates method refering to Fig. 3.Data genaration task execution step is as follows:
Step 1 space-time data generates task initialization, and including defining the message queue of two intertask communications, definition preserves scenic spot, sight spot id information, the local variable etc. of timestamp information；
Step 2 reads described intelligent terminal's bluetooth equipment number, by the identity of this device number mark visitor in system；Arranging Bluetooth antenna sweep time, the factor that this set of time mainly considers is speed and the system data amount of visitor's walking visit, and this time is set to 5 seconds in a preferred embodiment；
After step 3 arrives sweep time, the task that wakes up up reads Bluetooth antenna data, extracts the scenic spot ID in IBEACON agreement advertisement frames and sight spot id information.If now there is no effective IBEACON data, then task returns to waiting for；
Intelligent terminal described in step 4, by reading local system timestamp, merges into space-time data with positional information；
Space-time data is write in message queue by step 5 task.
It is that intelligent terminal goes sight-seeing space-time data sending method refering to Fig. 4.During going sight-seeing in reality, it is understood that there may be described intelligent terminal temporarily cannot connect the situation of network, now cannot send space-time data.Therefore space-time data is divided into and processing respectively with history space-time data in real time by system.Data type is distinguished by interpolation space-time data flag bit in transmission task.Flag bit accounts for 1 byte, i.e. 8 bits/bytes in space-time data, and in embodiment, 0xFO is real time data, and 0x0F is historical data.Transmission task execution step is as follows:
Step 1 space-time data sends task initialization, including the message queue of statement intertask communication, defines the temporary variables etc. such as real-time space-time data, history space-time data, flag bit；
Step 2 reads message queue, it is judged that the most whether have the space-time data that space-time data genaration task is stored in；
If step 3 has space-time data, read in, and judge whether presently described intelligent terminal has network to connect.If having, sending real-time space-time data, otherwise data being preserved as history space-time data and enter in cache file, send when described intelligent terminal reconnects network；
Step 4 concrete history space-time data operation includes: adds history flag position, then history space-time data is saved in cache file, sends after described intelligent terminal's access network；
The concrete space-time data in real time of step 5 operates and includes: add real-time flag bit, adds intelligent terminal's current network IP address, is then sent to the preservation of described Cloud Server by http protocol bag by real-time space-time data.Subsequently, it is judged that deposit the cache file whether non-NULL of history space-time data, if file non-NULL, send wherein space-time data by network.Last described intelligent terminal also needs to inquire about described Cloud Server, it may be judged whether have the scenic spot early warning information not received.If there is early warning information, then by Network Capture and show for visitor described intelligent terminal.
Preferably, space-time data is deposited entrance scenic spot according to flag bit and is gone sight-seeing tables of data and scenic spot history visit tables of data in real time by described Cloud Server respectively.The flow of the people super-limit prewarning message at scenic spot preserves to the real-time messages table of scenic spot.
Tables of data is gone sight-seeing in real time for preserving the visit space-time data entry in real time that intelligent terminal sends in described scenic spot.These data store the information such as position, sight spot residing for current visitor and the current network ip address of intelligent terminal.This table also saving scenic spot message reading state flag bit, to determine whether the intelligent terminal in message sight spot to be sent to.The real-time flow of the people at Nei Ge sight spot, scenic spot can be obtained according to this table content cloud server.The field of this table includes: scenic spot ID, described intelligent terminal's bluetooth equipment number, timestamp, in real time visit sight spot ID and described intelligent terminal network IP address, scenic spot message reading state flag bit etc..
All history of described scenic spot history visit tables of data visitor in preserving scenic spot and in real time visit space-time data entry, namely the sight spot of all processes and timestamp information before storing visitor.Visitor can be obtained according to Cloud Server described in this table content and go sight-seeing the information such as track, sight spot visit preference.The field of this table includes: scenic spot ID, described intelligent terminal's bluetooth equipment number, timestamp and history visit sight spot ID.
Described scenic spot early warning information table saves each sight spot ID and the content of text to the early warning information in requisition for transmission in scenic spot.This table is corresponding one of each scenic spot, names with scenic spot ID.The field of this table includes: sight spot ID, sight spot early warning information content.Sight spot early warning information is sent to described Cloud Server by described remote management terminal, described Cloud Server be saved in table by sight spot ID correspondence.After in specific sight spot, flow of the people transfinites, described Cloud Server sends this message to the described intelligent terminal in this sight spot.
In order to when described remote management terminal and described intelligent terminal inquire about the real-time flow of the people in scenic spot, it is provided that concrete scenic spot, sight name text message.Described Cloud Server is unified saves scenic spot name-scenic spot ID mapping table, sight spot name-sight spot ID mapping table, preserves each scenic spot, each sight name and its one-to-one relationship of No. ID the most respectively.
It is that described Cloud Server carries out time-space data analysis method refering to Fig. 5.Specifically comprise the following steps that
Cloud Server described in step 1 obtains, by http protocol bag, the space-time data that described intelligent terminal sends, and resolves packet, extracts space-time data flag bit；
Flag bit is judged by step 2, and point real time data and historical data two class process respectively；
Step 3 is for historical data, and described Cloud Server only needs these data to be stored in the history visit tables of data at corresponding scenic spot；
Step 4 includes for real time data concrete operations: extract intelligent terminal's bluetooth equipment number described in real-time space-time data and sight spot id information.Judge sight spot ID, confirm whether visitor leaves scenic spot.Judge that sight spot ID is OxFFFF, i.e. sight spot, exit ID.Then task searches the space-time data entry of this visitor in visit tables of data in real time with bluetooth equipment number.Finding, delete the Data Entry of this visitor, task returns.Without finding corresponding visitor, being then probably visitor outside scenic spot and, through outlet, therefore ignore this space-time data, task returns.If it is determined that sight spot ID is common sight spot, then finds with bluetooth equipment number and go sight-seeing tables of data in real time.If finding this bluetooth equipment number, then update this space-time data entry.Update content includes sight spot ID, intelligent terminal's current network IP address, timestamp information etc..If do not found, then it represents that the user at newly entering scenic spot, it is only necessary to a newly-increased space-time data in real time visit tables of data, it is reading state that corresponding message reads traffic sign placement simultaneously, i.e. represents currently without flow of the people super-limit prewarning message.Meanwhile, real-time space-time data is also served as log information recording and goes sight-seeing in tables of data to history by task, and task returns.
It is the described Cloud Server processing method for scenic spot early warning information refering to Fig. 6.Message handling task achieves and sends scenic spot early warning information to described intelligent terminal and receive the scenic spot early warning information function that management end described in scenic spot is arranged.Specifically comprise the following steps that
Cloud Server described in step 1 obtains network packet, and resolves；
According to data packet format, step 2 judges that packet sender's type is described intelligent terminal or described [U1] management end；
Step 3 processes task first extract the information such as the bluetooth equipment number in space-time data, scenic spot ID and sight spot ID for described intelligent terminal, early warning information；Then read scenic spot corresponding for scenic spot ID and go sight-seeing tables of data in real time, search space-time data entry according to bluetooth equipment number, read and judge scenic spot message reading state flag bit.If flag bit is not for read, and according to the early warning information content non-NULL of corresponding sight spot ID in the real-time messages table of scenic spot ID inquiry scenic spot, then reads this early warning information and send to this intelligent terminal；Finally revise the scenic spot message reading state flag bit in this space-time data for read；
Step 4 is for described remote management terminal, and first message handling task extracts scenic spot and sight spot ID in packet；Then search corresponding scenic spot real-time messages table according to scenic spot ID, then by sight spot ID, early warning information text is stored in table in corresponding sight spot.
These data, on the basis of visit time-space data acquisition, are dealt with and show that Nei Ge sight spot, scenic spot flow of the people real-time statistics realizes the function such as flow of the people super-limit prewarning and artificial abortion's guiding by described Cloud Server；
Described Cloud Server belongs to real time processing tasks for scenic spot Nei Ge sight spot people flow rate statistical and flow of the people super-limit prewarning function.Preferably, described Cloud Server is set and performs this task once at intervals of two minutes.Described Cloud Server utilizes described intelligent terminal's bluetooth equipment number to identify the mode of a visitor, the instant number of visitor in statistics scenic spot and in each sight spot, exceed the sight spot of specified number if there is real-time visitor's quantity, described Cloud Server visitor can send early warning information in described remote management terminal and scenic spot.
It is that real-time people flow rate statistical method performs flow process refering to Fig. 7.Specifically comprise the following steps that
Cloud Server described in step 1 initializes real-time people flow rate statistical task, and arranges execution intervalometer for task；
Step 2 then wakes up statistics task up when intervalometer, the visit space-time data entry in real time in the tables of data of visit in real time at each scenic spot in statistics task reading database；
Step 3 is gone sight-seeing an intelligent terminal in tables of data in real time and is only had a space-time data entry at scenic spot, therefore adds up the real-time personal data that in this table, all space-time data number of entries are total in i.e. obtaining scenic spot.Again with sight spot ID as keyword, classified statistic has the real-time flow of the people that the space-time data entry at identical sight spot ID i.e. obtains in each sight spot；
Cloud Server described in step 4 compares scenic spot, each sight spot specified flow of the people set in advance and real-time flow of the people successively, it may be judged whether there is the situation that indivedual sight spots flow of the people transfinites；
Step 5 is if it find that there is flow of the people super-limit prewarning sight spot, then record transfinites sight spot ID wake up flow of the people up and transfinite automatic early-warning tasks carrying.
Refering to Fig. 8 be flow of the people transfinite automatic early warning method perform flow process.Specifically comprise the following steps that
The step 1 flow of the people automatic early-warning task that transfinites is waken up, and carries out the initialization of task；
Step 2 reads real-time people flow rate statistical task result, reads and there is scenic spot ID and the sight spot ID list that flow of the people transfinites, it is possible to there is multiple sight spots flow of the people transfinites；
Step 3, according to scenic spot ID and sight spot ID, is searched scenic spot and the sight name of correspondence in scenic spot title-scenic spot ID and sight name and sight spot ID mapping table, is built early warning information, sent to described remote management terminal by the Internet；
Tables of data is gone sight-seeing at the scenic spot that step 4 opens correspondence according to scenic spot ID in real time, searches wherein corresponding space-time data entry further according to sight spot ID, is revised as not reading by the message reading state mark in entry.The described intelligent terminal that task sends a message in certain scenic is processed with the early warning information that this triggers described Cloud Server.
The present invention is not limited to above-described embodiment and embodiment method; for it will be appreciated by those skilled in the art that the principle of the present invention carries out multiple change, revises, replaces and modification these embodiments, protection scope of the present invention is limited by every claim and equivalency range thereof.
Claims (6)
1. scenic spot visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early-warning system, it is characterised in that: this system includes: four parts such as intelligent terminal, Cloud Server and scenic spot remote management terminal that some low-power consumption Bluetooth base. station of being fixedly mounted in scenic spot in each sight spot, visitor carry with；Described Cloud Server is connected by the Internet with described intelligent terminal and described scenic spot remote management terminal.
Scenic spot the most according to claim 1 visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early-warning system, it is characterised in that: described low-power consumption Bluetooth base. station includes microprocessor, power supply circuits, memorizer, Bluetooth antenna, interface circuit parts；At least one low-power consumption Bluetooth base. station and one unique location identifier code of each base station distribution need to be installed in each sight spot；The described low-power consumption Bluetooth base. station i.e. scenic area and scenic spot identification code of fixed time broadcast wireless blue tooth position data, provides scenic spot positional information with the described intelligent terminal carried with to visitor.
Scenic spot the most according to claim 1 visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early-warning system, it is characterized in that: described intelligent terminal receives the scenic area and scenic spot identification code of each sight spot low-power consumption Bluetooth base. station broadcast by wireless blue tooth protocol, and records the timestamp gathering scenic area and scenic spot identification code；Scenic area and scenic spot identification code and timestamp constitute the visit space-time data of visitor；Described intelligent terminal uploads this space-time data with Fixed Time Interval to Cloud Server by wireless network, simultaneously by wireless internet connection Cloud Server, inquires about and obtains scenic spot and each sight spot real-time flow of the people data and receive early warning information when flow of the people transfinites.
Scenic spot the most according to claim 1 visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early-warning system, it is characterized in that: the visit space-time data of the visitor that described intelligent terminal sends is received and stored by described Cloud Server, send early warning information to described intelligent terminal simultaneously；The visit space-time data preserved can be for further processing by the data mining program of described Cloud Server, according to scenic area and scenic spot identification code and timestamp can calculate each sight spot in Jing Chu district real-time flow of the people and automatically the sight spot exceeding restriction number is generated real-time early warning information and in this sight spot described intelligent terminal send this early warning information by wireless Internet.
5. scenic spot visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early warning method, it is characterised in that: the method includes: intelligent terminal generates the visit space-time data of visitor by the scenic spot of APP software receipt Bluetooth base. station broadcast and sight spot identification code information, logging timestamp information simultaneously；The visitor that cloud server intelligent terminal sends goes sight-seeing space-time data and stores and process, and draws in scenic spot and each sight spot flow of the people data automatically generate early warning information in real time；Intelligent terminal can pass through wireless Internet inquiry Cloud Server and obtain the real-time flow of the people in each sight spot in scenic spot, and the automatic reception early warning information when sight spot flow of the people transfinites；Scenic spot management side connects Cloud Server by remote management terminal and arranges scenic area and scenic spot flow of the people early warning limit and early warning information, can inquire about visitor's real-time flow of the people data in Nei Ge sight spot, each scenic spot simultaneously.
Scenic spot the most according to claim 5 visitor's flow of the people real-time statistics and artificial abortion are transfinited automatic early warning method, it is characterised in that: described scenic spot visitor's flow of the people real-time statistics and the artificial abortion automatic early warning method that transfinites includes following operating procedure:
Before step 1 system normally uses, first by pre-assigned scenic spot and sight spot mark code, configuration parameter writes described Bluetooth base. station, and installs described Bluetooth base. station to each corresponding sight spot in scenic spot；Preserve the file of scenic spot and sight spot identification code and scenic area and scenic spot title corresponding relation at described Cloud Server, and in data base, create the data table related preserving visit space-time data, follow-up for system；
Before step 2 visitor enters scenic spot, install and run APP software described intelligent terminal, open the Bluetooth antenna of described intelligent terminal；
When step 3 visitor enters scenic spot visit, described intelligent terminal will automatically obtain the position data of Bluetooth base. station broadcast in sight spot, receive scenic spot and sight spot identification code information logging timestamp information；Enclose the bluetooth device address of described intelligent terminal, network ip address information etc. simultaneously, constitute the visit space-time data of visitor；
Cloud Server described in step 4 is sent, by each described intelligent terminal, the visitor returned in receiving scenic spot and goes sight-seeing space-time data, it is achieved in scenic spot, all visitors go sight-seeing the collection of space-time data, storage function；Cloud Server data processor processes according to the different information classifications in visit space-time data, calculate real-time flow of the people in each sight spot, described Cloud Server is to the real-time flow of the people in scenic spot and each sight spot and specified flow of the people multilevel iudge, automatically real-time to exceeding the sight spot generation limiting visitor's number early warning information, sends this early warning information by visitor in this sight spot of wireless Internet item；
Intelligent terminal described in step 5 can obtain the real-time flow of the people in each sight spot in scenic spot, and the automatic reception early warning information when sight spot flow of the people transfinites by Cloud Server described in wireless Internet active inquiry simultaneously；
Step 6 scenic spot management side connects described Cloud Server by described remote management terminal and arranges scenic area and scenic spot flow of the people early warning limit and early warning information, can inquire about visitor's real-time flow of the people data in Nei Ge sight spot, each scenic spot simultaneously.
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Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106534493A (en) * | 2016-10-21 | 2017-03-22 | 上海斐讯数据通信技术有限公司 | People flow early warning method based on smart terminal and smart terminal |
| CN106878102A (en) * | 2016-12-23 | 2017-06-20 | 中国科学院信息工程研究所 | A kind of Pedestrian flow detection method and system based on the identification of network traffics multi-field |
| CN106912070A (en) * | 2017-04-28 | 2017-06-30 | 河北绿谷信息科技有限公司 | Travelling merchants region density of stream of people monitoring method and system based on iBeacon technologies |
| CN106951989A (en) * | 2017-03-17 | 2017-07-14 | 于平 | Visitor management system based on iBeacon information pushing functions |
| CN107358471A (en) * | 2017-07-17 | 2017-11-17 | 桂林电子科技大学 | A kind of tourist resources based on visit behavior recommends method and system |
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| CN111010439A (en) * | 2019-12-16 | 2020-04-14 | 重庆锐云科技有限公司 | Scenic spot comfort level monitoring and early warning method |
| CN111027524A (en) * | 2020-01-03 | 2020-04-17 | 成都中科大旗软件股份有限公司 | Online passenger flow monitoring analysis data error correction method |
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| CN111258252A (en) * | 2020-01-21 | 2020-06-09 | 三江学院 | Tourist attraction heat real-time monitoring system and method |
| CN111403044A (en) * | 2020-02-28 | 2020-07-10 | 中钞信用卡产业发展有限公司杭州区块链技术研究院 | Personnel statistics method, device and related equipment |
| CN111405008A (en) * | 2020-03-06 | 2020-07-10 | 精英数智科技股份有限公司 | Coal mine data transmission method, device and system |
| CN112565715A (en) * | 2020-12-30 | 2021-03-26 | 浙江大华技术股份有限公司 | Scenic spot passenger flow monitoring method and device, electronic equipment and storage medium |
| CN113012322A (en) * | 2021-02-20 | 2021-06-22 | 江苏云巅电子科技有限公司 | Remote statistical system of pedestrian flow based on bluetooth AOA |
| CN114401291A (en) * | 2022-01-08 | 2022-04-26 | 浙江力石科技股份有限公司 | Regional passenger flow monitoring system and method based on night trip passenger flow overrun danger alarm |
| CN116206421A (en) * | 2023-01-04 | 2023-06-02 | 歌尔股份有限公司 | Risk early warning method, device, electronic equipment and medium for crowd gathering |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104966134A (en) * | 2015-06-15 | 2015-10-07 | 海南大学 | Scenic spot visitor flow prediction and over-limit emergency system based on mobile terminal |
| CN105427208A (en) * | 2015-11-11 | 2016-03-23 | 镇江市高等专科学校 | Cloud computing based management method for smart travel management system |
| CN105516911A (en) * | 2016-01-15 | 2016-04-20 | 杭州大穿越旅游策划有限公司 | Data transmission method |
| CN105654400A (en) * | 2015-12-27 | 2016-06-08 | 懋特(上海)物联网科技有限公司 | Wireless positioning management system for scenic spots and use method thereof |
-
2016
- 2016-07-13 CN CN201610549343.2A patent/CN106027678A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104966134A (en) * | 2015-06-15 | 2015-10-07 | 海南大学 | Scenic spot visitor flow prediction and over-limit emergency system based on mobile terminal |
| CN105427208A (en) * | 2015-11-11 | 2016-03-23 | 镇江市高等专科学校 | Cloud computing based management method for smart travel management system |
| CN105654400A (en) * | 2015-12-27 | 2016-06-08 | 懋特(上海)物联网科技有限公司 | Wireless positioning management system for scenic spots and use method thereof |
| CN105516911A (en) * | 2016-01-15 | 2016-04-20 | 杭州大穿越旅游策划有限公司 | Data transmission method |
Non-Patent Citations (1)
| Title |
|---|
| 连毅斌: "基于iBeacon技术的导览系统在旅游景区的运用", 《智能建筑电气技术》 * |
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