CN112732729A - Scenic spot resource management system and method based on three-dimensional Gis - Google Patents
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Abstract
The invention relates to the technical field of scenic spot resource management, in particular to a scenic spot resource management system and a scenic spot resource management method based on three-dimensional Gis, which are characterized in that: the system comprises a visual terminal, a platform portal, an internal system and an external system, wherein the internal system comprises a service processing subsystem, a data acquisition subsystem, a data analysis subsystem, a data cache subsystem and a data storage subsystem, and the external system comprises a GPS automobile management subsystem, a dustbin management subsystem, a staff information subsystem and a ticket resource subsystem. The invention provides a main and standby synchronization method of a memory database, which can save storage space and avoid data loss, overcomes the defects that the bandwidth control of a data packet is lacked and effective value-added service cannot be provided in an application occasion with strict requirements on the bandwidth in the existing network, and realizes the efficient management of scenic spot resource management based on three-dimensional Gis.
Description
Technical Field
The invention relates to the technical field of scenic spot resource management, in particular to a scenic spot resource management system and method based on three-dimensional Gis.
Background
With the rapid development of tourism economy in China, the protection and management levels of various resources in scenic spots are improved, and the sustainable utilization of the resources is an urgent and practical task. In addition, daily management and decision tasks of each scenic spot are increasingly heavy, a large amount of information needs to be fed back and processed quickly in time, and the traditional management method and means cannot meet the requirements of scenic spot development and become a bottleneck problem of the quick development of the scenic spots. In order to meet the requirements of various management works, a large number of digital system constructions are developed in each scenic spot, a large number of application systems are developed, but due to the influence of factors such as development time, development technology, leading departments and the like, each application system operates independently, the use and operation are complicated, data sharing cannot be realized, and an information isolated island is formed.
Disclosure of Invention
The invention aims to provide a scenic spot resource management system and method based on three-dimensional Gis, and provides a method for synchronizing main and standby memory databases, which can save storage space and avoid data loss; the method is characterized in that a simple service classification method is used for carrying out service type distinguishing processing on the input rate of a data packet input into a network processor aiming at the data processing flow of a linear speed network processor in a high-speed network, a timing strict limitation method is adopted, the number of bytes allowed to pass in the timing is used as the basis of discarding the data packet, the control on the output rate is realized, and the defects that the bandwidth control of the data packet is lacked in the existing network and effective value-added service cannot be provided in the application occasion with strict requirement on the bandwidth are overcome. The problems in the prior art are solved, and efficient management of scenic spot resource management based on three-dimensional Gis is achieved.
The technical scheme adopted by the invention is as follows:
a scenic spot resource management method based on three-dimensional Gis comprises the following steps:
s01, the data acquisition terminal acquires scene information of scenic spots, generates frame-by-frame pictures and stores the pictures in a picture storage server;
s02, the picture storage server receives the loading instruction of the scenic spot scene information, decomposes the frame-by-frame pictures according to different types to obtain different model loading subtasks, obtains different types of file storage positions by accessing the storage file addressing information table, further reads the complete file of each model, and correspondingly finishes reading and outputting each type of file, wherein the files comprise a tourist heat data file, a garbage can state data file and an amusement facility data file;
s03, the algorithm server respectively extracts the files of each type in S02, loads the pictures, identifies the corresponding algorithm, calculates, and stores the data result to a database after the calculation is finished, wherein the files comprise a tourist heat data file, a garbage can state data file and an amusement facility data file;
and S04, reading the calculation data result from the database by each subsystem server, combining the three-dimensional scene graph generated in the three-dimensional Gis information and outputting the result to the PC terminal.
Preferably, the algorithm for the popularity of the guest in the step S03 includes the following steps:
s1, acquiring frame-by-frame pictures of the camera and storing the pictures in a picture storage server; loading the picture into a people flow recognition algorithm, and analyzing and counting the number of visitors in the current time period of each area; storing the analysis data into a database; reading people flow data from a database, dividing the number A of people in the current area by the preset number B of people crowded in the current area to obtain the granularity C of people in the current area, and then grading according to the preset fluency; and storing the analysis result into a database.
Preferably, the algorithm of the trash can condition in step S03 includes the following steps:
s2, acquiring frame-by-frame pictures of the camera and storing the pictures in a picture storage server; loading the picture into a garbage can state identification algorithm, and analyzing the garbage can state of each region; storing the analysis data into a database; reading garbage bin state data from a database, and judging whether the garbage bin needs to be cleaned according to the current garbage amount in the garbage bin; and storing the analysis result into a database.
Preferably, the algorithm of the amusement facility data in step S03 includes the steps of:
s3, acquiring frame-by-frame pictures of the camera and storing the pictures in a picture storage server; loading the pictures into an amusement facility data algorithm, and analyzing the pedestrian flow state and the use duration data of amusement facilities in each region; storing the analysis data into a database; reading amusement facility data from the database, and comparing the current pedestrian flow state and the use duration data with prestored maintenance standards in the database to judge whether to stop maintenance for a single amusement facility; and storing the analysis result into a database.
Preferably, the server receives the external system data and performs classified storage, and the data resource of the tourist popularity in step S1 is derived from the external ticketing resource subsystem data.
Preferably, the scenic spot resource management system based on the three-dimensional Gis comprises a visual terminal, a platform portal, an internal system and an external system, wherein the internal system comprises a business processing subsystem, a data acquisition subsystem, a data analysis subsystem, a data cache subsystem and a data storage subsystem, and the external system comprises a GPS automobile management subsystem, a dustbin management subsystem, a staff information subsystem and a ticket resource subsystem;
the visual terminal is a PC display and an LED display device and is used for finally displaying a scenic spot map and information notification;
b, the platform portal comprises a three-dimensional gis map platform and a background management system;
the business subsystem comprises a two-sale data recording module, a garbage can condition display module, a vehicle route map module and an automatic early warning module;
the data acquisition subsystem comprises a unified task scheduling module, an acquisition rule definition module and an abnormal alarm module;
the data analysis subsystem comprises a second sales data statistics module, a garbage can data module, a tourist data module and an amusement facility data module;
the data cache subsystem adopts a Redis cache mode, the Redis provides a distributed lock, and the access authority of the database is limited through the Redis distributed lock, so that the data is prevented from being attacked and lost;
g, the data storage system adopts a MySQL database server to cooperate with a database stored by a MongoDB distributed file to work cooperatively, the MySQL is used for storing core service data, and the MongoDB is responsible for storing logs and reports for facilitating query.
Preferably, the external ticketing resources subsystem data provides the following data to the back-end management system: setting basic information of ticket business in a scenic spot, setting ticket types, setting calendar stock and price, and connecting working data of a gate machine in the scenic spot, wherein the gate machine acquires user information and performs switch verification according to order information in a ticket business system, and performs verification and ticket drawing operation according to an order submitted by a distribution system; the distribution system acquires the ticketing sale data of the ticketing system and each large distribution channel through network information transmission and stores the ticketing sale data in a classified mode.
Preferably, the three-dimensional gis map platform receives GPS data in real time, performs positioning analysis statistics on automobile flow and driving routes in and around the scenic spot, and finds out a congestion end through calculation to perform broadcast early warning dredging.
Compared with the prior art, the invention manages the out-of-step record number by the linked list represented by the array, all the connection indication is completed by the array subscript, the data search is directly positioned in all the operations, and the whole operation speed is improved. And the picture storage server receives the scenic spot scene information loading instruction, decomposes the frame-by-frame pictures according to different types to obtain different model loading subtasks, acquires different types of file storage positions by accessing the storage file addressing information table, further reads the complete file of each model, and correspondingly finishes reading and outputting each type of file.
When the data changes, the data is either inserted or deleted or the local small number of fields are modified according to the characteristics of the data of the switch. For the situation, the modification item is in the data change type, and the change avoids the situation that each record needs to transmit the whole record, and reduces the whole transmission load.
Because of the real-time requirement of the switch data, when the real-time synchronization process is started, the data can be transmitted as long as the asynchronous data exists, and meanwhile, because of the existence of three asynchronous types, the datagram can not naturally reach the fixed length, therefore, in the mechanism, only the maximum length of the data packet is specified, and the waste of the fixed length packet to the data space is reduced by increasing a small number of control fields to control the reading and writing of the data packet. The data cache subsystem adopts a Redis cache mode, the Redis provides a distributed lock, and the access authority of the database is limited through the Redis distributed lock, so that the data is prevented from being attacked and lost.
Because other services are processed by the switch during data synchronization, the situation that other services cannot be processed normally due to data synchronization is avoided. The addition of the relevant fields in the transport data control area thus prevents continuous synchronization of unresponsive packets and continuous synchronization of out-of-sync records. The data storage system adopts a MySQL database server to cooperate with a database stored by a MongoDB distributed file to work cooperatively, the MySQL is used for storing core service data, and the MongoDB is responsible for storing logs and reports for facilitating query.
After the network processor receives the data packet, the invention extracts the search keyword in the data packet header, matches the user routing table in the network processor, then identifies the service type of the data packet according to the service type parameter in the user record, and adopts the corresponding bandwidth control strategy to carry out the speed limit treatment, thereby realizing the bandwidth control of the data packets with different service types. The algorithm server respectively extracts various types of files in the S02, loads the pictures, identifies corresponding algorithms, calculates, and stores data results into a database after the calculation is finished; and each subsystem server reads the calculation data result from the database, combines the three-dimensional scene graph generated in the three-dimensional Gis information and outputs the result to the PC terminal.
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FIG. 1 is a schematic diagram of the overall architecture of the system of the present invention;
fig. 2 is a schematic flow chart of the technical scheme of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, a scenic spot resource management system based on three-dimensional Gis, a background management system, a GPS automobile management subsystem, a dustbin management subsystem, a staff information subsystem and a ticket resource subsystem perform real-time information transmission and update, a second sales data recording module in the business subsystem records data information transmitted by the ticket resource subsystem, and then transmits the data information to a second sales data statistical module of a data analysis subsystem for statistical analysis and calculation, and then data storage is performed. The camera shoots and records all scenes in the scenic spot, generates frame-by-frame pictures and then stores the pictures, the tourist data module calls data to calculate the pedestrian flow to obtain the granularity of the pedestrian flow area, and compares the management data scheme stored in the database in advance, so that the management system can conveniently analyze pedestrian flow dispersion and dispersion in the scenic spot, and then store result data; the garbage can data module calls data to analyze the current state of the garbage can, compares a pre-stored management data scheme, judges the state of the garbage can, determines whether the garbage can needs to be cleaned and maintained, and then stores result data; the amusement facility data module calls data, loads pictures into an amusement facility data algorithm, analyzes the pedestrian flow state and the use duration data of amusement facilities in each region, judges whether the single amusement facility is shut down for maintenance or not according to the current pedestrian flow state and the use duration data and comparison with prestored maintenance standards in a database, and then stores result data; the unified task scheduling module performs task scheduling analysis calculation on the whole scenic spot according to various analysis result data of the database, then displays an abnormal instruction to a worker through a PC, and the early warning module sends notification information to the LED display device to remind scenic spot visitors of the current abnormal condition so as to ensure normal operation of the scenic spot. The data storage system adopts a MySQL database server to cooperate with a database stored by a MongoDB distributed file to work cooperatively, MySQL is used for storing core service data, the MongoDB is responsible for storing logs and reports for facilitating inquiry, and the MongoDB work cooperatively, so that the data safety can be ensured, the master-slave synchronization of the data is realized, and the normal operation of a scenic spot management system is ensured.
The specific implementation method is shown in figure 2: s01, the data acquisition terminal acquires scene information of scenic spots, generates frame-by-frame pictures and stores the pictures in a picture storage server;
s02, the picture storage server receives the loading instruction of the scenic spot scene information, decomposes the frame-by-frame pictures according to different types to obtain different model loading subtasks, obtains different types of file storage positions by accessing the storage file addressing information table, further reads the complete file of each model, and correspondingly finishes reading and outputting each type of file, wherein the files comprise a tourist heat data file, a garbage can state data file and an amusement facility data file;
s03, the algorithm server respectively extracts the files of each type in S02, loads the pictures, identifies the corresponding algorithm, calculates, and stores the data result to a database after the calculation is finished, wherein the files comprise a tourist heat data file, a garbage can state data file and an amusement facility data file;
and S04, each subsystem server reads the calculation data result from the database, combines the three-dimensional scene graph generated in the three-dimensional Gis information and outputs the three-dimensional scene graph to the PC-side background management system to perform real-time monitoring, analysis, storage and early warning on the system data according to the data provided by the three-dimensional Gis map platform.
The specific algorithm of the popularity of the tourists in the S03 is S1, the frame-by-frame pictures of the camera are obtained and stored in the picture storage server; loading the picture into a people flow recognition algorithm, and analyzing and counting the number of visitors in the current time period of each area; storing the analysis data into a database; reading people flow data from a database, dividing the number A of people in the current area by the preset number B of people crowded in the current area to obtain the granularity C of people in the current area, and then grading according to the preset fluency; and storing the analysis result into a database.
An algorithm about the garbage can condition in the S03 is S2, and frame-by-frame pictures of the camera are obtained and stored in the picture storage server; loading the picture into a garbage can state identification algorithm, and analyzing the garbage can state of each region; storing the analysis data into a database; reading garbage bin state data from a database, and judging whether the garbage bin needs to be cleaned according to the current garbage amount in the garbage bin; and storing the analysis result into a database.
The algorithm for the amusement facility data in step S03 is S3, and frame-by-frame pictures of the camera are acquired and stored in the picture storage server; loading the pictures into an amusement facility data algorithm, and analyzing the pedestrian flow state and the use duration data of amusement facilities in each region; storing the analysis data into a database; reading amusement facility data from the database, and comparing the current pedestrian flow state and the use duration data with prestored maintenance standards in the database to judge whether to stop maintenance for a single amusement facility; storing the analysis results in a database
Finally, it should be noted that the above-mentioned description is only a preferred embodiment of the present invention, and those skilled in the art can make various similar representations without departing from the spirit and scope of the present invention.
Claims (8)
1. A scenic spot resource management method based on three-dimensional Gis is characterized by comprising the following steps:
s01, the data acquisition terminal acquires scene information of scenic spots, generates frame-by-frame pictures and stores the pictures in a picture storage server;
s02, the picture storage server receives the loading instruction of the scenic spot scene information, decomposes the frame-by-frame pictures according to different types to obtain different model loading subtasks, obtains different types of file storage positions by accessing the storage file addressing information table, further reads the complete file of each model, and correspondingly finishes reading and outputting each type of file, wherein the files comprise a tourist heat data file, a garbage can state data file and an amusement facility data file;
s03, the algorithm server respectively extracts the files of each type in S02, loads the pictures, identifies the corresponding algorithm, calculates, and stores the data result to a database after the calculation is finished, wherein the files comprise a tourist heat data file, a garbage can state data file and an amusement facility data file;
and S04, reading the calculation data result from the database by each subsystem server, combining the three-dimensional scene graph generated in the three-dimensional Gis information and outputting the result to the PC terminal.
2. The method according to claim 1, wherein the method comprises: the algorithm of the guest' S popularity at step S03 includes the steps of:
s1, acquiring frame-by-frame pictures of the camera and storing the pictures in a picture storage server; loading the picture into a people flow recognition algorithm, and analyzing and counting the number of visitors in the current time period of each area; storing the analysis data into a database; reading people flow data from a database, dividing the number A of people in the current area by the preset number B of people crowded in the current area to obtain the granularity C of people in the current area, and then grading according to the preset fluency; and storing the analysis result into a database.
3. The method according to claim 1, wherein the method comprises: the algorithm for the trash can condition in step S03 includes the following steps:
s2, acquiring frame-by-frame pictures of the camera and storing the pictures in a picture storage server; loading the picture into a garbage can state identification algorithm, and analyzing the garbage can state of each region; storing the analysis data into a database; reading garbage bin state data from a database, and judging whether the garbage bin needs to be cleaned according to the current garbage amount in the garbage bin; and storing the analysis result into a database.
4. The method according to claim 1, wherein the method comprises: the algorithm of the amusement facility data in step S03 includes the following steps:
s3, acquiring frame-by-frame pictures of the camera and storing the pictures in a picture storage server; loading the pictures into an amusement facility data algorithm, and analyzing the pedestrian flow state and the use duration data of amusement facilities in each region; storing the analysis data into a database; reading amusement facility data from the database, and comparing the current pedestrian flow state and the use duration data with prestored maintenance standards in the database to judge whether to stop maintenance for a single amusement facility; and storing the analysis result into a database.
5. The method according to claim 1, wherein the method comprises: the server receives the external system data and performs classified storage, and the data resource of the tourist popularity algorithm in the step S1 is derived from the external ticket resource subsystem data.
6. A three-dimensional Gis-based scenic spot resource management system implementing the method of claim 1, wherein: the system comprises a visual terminal, a platform portal, an internal system and an external system, wherein the internal system comprises a service processing subsystem, a data acquisition subsystem, a data analysis subsystem, a data cache subsystem and a data storage subsystem, and the external system comprises a GPS (global positioning system) automobile management subsystem, a dustbin management subsystem, a staff information subsystem and a ticket resource subsystem;
the visual terminal is a PC display and an LED display device and is used for finally displaying a scenic spot map and information notification;
b, the platform portal comprises a three-dimensional gis map platform and a background management system;
the business subsystem comprises a two-sale data recording module, a garbage can condition display module, a vehicle route map module and an automatic early warning module;
the data acquisition subsystem comprises a unified task scheduling module, an acquisition rule definition module and an abnormal alarm module;
the data analysis subsystem comprises a second sales data statistics module, a garbage can data module, a tourist data module and an amusement facility data module;
the data cache subsystem adopts a Redis cache mode, the Redis provides a distributed lock, and the access authority of the database is limited through the Redis distributed lock, so that the data is prevented from being attacked and lost;
g, the data storage system adopts a MySQL database server to cooperate with a database stored by a MongoDB distributed file to work cooperatively, the MySQL is used for storing core service data, and the MongoDB is responsible for storing logs and reports for facilitating query.
7. The system according to claim 6, wherein: the external ticketing resource subsystem data provides the following data for the background management system, namely scene region ticketing basic information setting, ticket type setting, calendar stock setting and price setting, and work data of a gate machine in a scene region, wherein the gate machine acquires user information and performs on-off verification according to order information in the ticketing system, and performs verification and ticketing operation according to an order submitted by a distribution system; the distribution system acquires the ticketing sale data of the ticketing system and each large distribution channel through network information transmission and stores the ticketing sale data in a classified mode.
8. The system according to claim 1, wherein said system comprises: the three-dimensional gis map platform receives GPS data in real time, carries out positioning analysis statistics on automobile flow and driving routes on scenic spots and lines around the scenic spots, and finds out congestion ends through calculation to carry out broadcast early warning and dredging.
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Application publication date: 20210430 |