CN111638955A - Scenic spot management service method, system and readable storage medium based on edge calculation - Google Patents
Scenic spot management service method, system and readable storage medium based on edge calculation Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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Abstract
The invention discloses a scenic spot management service method, a system and a readable storage medium based on edge calculation, wherein the method comprises the following steps: creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots; collecting visitor flow activity information and personalized demand information as first information data; synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data; pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated; feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot; the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal. By utilizing the edge computing technology, the invention realizes the intellectualization of the scenic spot management service, improves the efficiency of the scenic spot management service and effectively reduces the computing pressure of the cloud.
Description
Technical Field
The present invention relates to the field of edge computing technology and management service, and more particularly, to a method, a system and a readable storage medium for edge computing-based scenic spot management service.
Background
China is wide in territorial breadth and has abundant tourism resources; with the development, the economic construction of China has achieved the attractive performance, the living standard of people is greatly improved, and the demand for tourism and leisure is gradually increased. Since the new century, the tourism industry of China is developed vigorously, and strong power is injected for the growth of national economy. With the development and construction of tourist attractions, countless great river mountains open the 'gate' to the masses; however, China has a large population, a large number of tourists inevitably flow into scenic spots in the gold holidays, and the situations of trampling, cliff falling, missing and the like frequently occur due to insufficient management of the scenic spots. In the traditional scenic spot management mode, most of the scenic spot management modes depend on the scenic spot workers for manpower management, and a large amount of manpower resources are consumed; the mode of management service by means of electronic equipment is partially adopted, data acquisition and resource calling of the electronic equipment all need to lean on a cloud server, a large amount of data generated in the process brings huge calculation pressure to a cloud, and serious time delay exists when the data volume is increased sharply. The edge calculation is a distributed open platform which integrates network, calculation, storage and application core capabilities at the edge side of a network close to an object or a data source, edge intelligent services are provided nearby, and key requirements of industry digitization on aspects of agile connection, real-time business, data optimization, application intelligence, safety, privacy protection and the like are met. Therefore, applying the edge computing technology to the field of the scenic spot management service is a feasible direction.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a scenic spot management service method, a system and a readable storage medium based on edge computing.
In order to solve the above technical problem, a first aspect of the present invention discloses a method for managing a service of a scenic spot based on edge calculation, the method comprising:
creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots;
collecting visitor flow activity information and personalized demand information as first information data;
synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data;
pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated;
feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot;
the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal.
In the scheme, the edge computing node comprises an edge server, an edge storage module and an edge gateway, and can communicate with a cloud computing center through the edge gateway; the edge computing nodes can communicate with each other through a wired or wireless local area network.
In the scheme, the visitor flow information comprises visitor flow, the geographic position of the visitor, the advancing direction of the visitor and the staying time of the visitor; the personalized demand information comprises the problems of tourists about scenic spot routes, the problems of tourists about historical backgrounds of scenic spots, the problems of tourists about charging of scenic spots, the problems of dining guide of tourists and the urgent help information of tourists.
In this scheme, the specific process of preprocessing the first information data is as follows:
identifying the information type of the first information data according to a preset condition;
sorting and grouping the first information data according to different information types;
screening and filtering the first information data classified into groups, and deleting redundant data which are repeatedly acquired;
deleting invalid information data according to the judgment standard of the valid information data;
and respectively storing the effective information data of different groups into different databases.
In the scheme, the scene areas are cut in a blocking mode, edge computing nodes in each blocking area form an area edge computing network for performing collaborative computing, and the area edge computing networks form a global edge computing network for performing collaborative computing; when a single edge computing node cannot obtain correct feedback through analysis and calculation, the edge computing node initiates a collaborative computing request to an edge computing network of the region to which the edge computing node belongs, and starts regional collaborative computing after other edge computing nodes in the region respond; when a single regional edge computing network cannot obtain correct feedback through regional collaborative computing, the regional edge computing network initiates a collaborative computing request to a global edge computing network, and starts global collaborative computing after obtaining responses of other regional edge computing networks.
In the scheme, the edge computing terminal has a voice recognition function and a scenic spot three-dimensional visualization function and can perform information interaction with a user.
In this scheme, the edge calculation node has a people flow adjustment guiding function, specifically as follows:
receiving the analysis and calculation results of other edge calculation nodes in real time;
obtaining the movement trend of the tourists in each scenic spot, and calculating the visitor flow P of the tourists with the current scenic spot as the movement trenda；
Acquiring the current position information of the visitor flow with the movement trend of the current scenic spot, and calculating the total S of the route mileage from the visitor flow to the current scenic spot;
calculating the real-time pedestrian volume P of the tourists accommodated in the current scenic spotbThe real-time pedestrian volume of the tourists with the movement trend of leaving the current scenic spot is Pc；
Carrying out targeted people flow regulation and guidance according to the people flow early warning index W of the current scenic spot, wherein the calculation formula of W is
Wherein, PdAnd omega is a weight coefficient, wherein the weight coefficient is the maximum passenger flow rate which can be accommodated by the current scenic spot.
The second aspect of the present invention discloses a scenic spot management service system based on edge calculation, which is characterized by comprising a memory and a processor, wherein the memory comprises a program of a scenic spot management service method based on edge calculation, and when the program of the scenic spot management service method based on edge calculation is executed by the processor, the following steps are implemented:
creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots;
collecting visitor flow activity information and personalized demand information as first information data;
synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data;
pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated;
feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot;
the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal.
In the scheme, the edge computing node comprises an edge server, an edge storage module and an edge gateway, and can communicate with a cloud computing center through the edge gateway; the edge computing nodes can communicate with each other through a wired or wireless local area network.
In the scheme, the visitor flow information comprises visitor flow, the geographic position of the visitor, the advancing direction of the visitor and the staying time of the visitor; the personalized demand information comprises the problems of tourists about scenic spot routes, the problems of tourists about historical backgrounds of scenic spots, the problems of tourists about charging of scenic spots, the problems of dining guide of tourists and the urgent help information of tourists.
In this scheme, the specific process of preprocessing the first information data is as follows:
identifying the information type of the first information data according to a preset condition;
sorting and grouping the first information data according to different information types;
screening and filtering the first information data classified into groups, and deleting redundant data which are repeatedly acquired;
deleting invalid information data according to the judgment standard of the valid information data;
and respectively storing the effective information data of different groups into different databases.
In the scheme, the scene areas are cut in a blocking mode, edge computing nodes in each blocking area form an area edge computing network for performing collaborative computing, and the area edge computing networks form a global edge computing network for performing collaborative computing; when a single edge computing node cannot obtain correct feedback through analysis and calculation, the edge computing node initiates a collaborative computing request to an edge computing network of the region to which the edge computing node belongs, and starts regional collaborative computing after other edge computing nodes in the region respond; when a single regional edge computing network cannot obtain correct feedback through regional collaborative computing, the regional edge computing network initiates a collaborative computing request to a global edge computing network, and starts global collaborative computing after obtaining responses of other regional edge computing networks.
In the scheme, the edge computing terminal has a voice recognition function and a scenic spot three-dimensional visualization function and can perform information interaction with a user.
In this scheme, the edge calculation node has a people flow adjustment guiding function, specifically as follows:
receiving the analysis and calculation results of other edge calculation nodes in real time;
obtaining the movement trend of the tourists in each scenic spot, and calculating the visitor flow P of the tourists with the current scenic spot as the movement trenda；
Acquiring the current position information of the visitor flow with the movement trend of the current scenic spot, and calculating the total S of the route mileage from the visitor flow to the current scenic spot;
calculating the real-time pedestrian volume P of the tourists accommodated in the current scenic spotbThe real-time pedestrian volume of the tourists with the movement trend of leaving the current scenic spot is Pc；
Carrying out targeted people flow regulation and guidance according to the people flow early warning index W of the current scenic spot, wherein the calculation formula of W is
Wherein, PdAnd omega is a weight coefficient, wherein the weight coefficient is the maximum passenger flow rate which can be accommodated by the current scenic spot.
In the scheme, the scenic spot management service system based on the edge calculation comprises an information data acquisition module, an information data processing module, an information data analysis and calculation module and an analysis and calculation result output module.
In a third aspect, the present invention discloses a computer-readable storage medium, which includes a program of a scenic region management service method based on edge computing of a machine, and when the program of the scenic region management service method based on edge computing is executed by a processor, the steps of the scenic region management service method based on edge computing are implemented.
By utilizing the edge computing technology, the scenic spot management service intelligentization is realized, the efficiency of the scenic spot management service is improved, and the computing pressure of a cloud end is effectively reduced.
Drawings
FIG. 1 is a flow chart of a method for managing service of scenic spot based on edge calculation according to the present invention;
fig. 2 is a block diagram illustrating a scenic spot management service system based on edge computing according to the present invention.
Detailed description of the invention
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a scenic spot management service method based on edge computing according to the present invention.
As shown in fig. 1, a first aspect of the present invention discloses a method for managing service of a scenic spot based on edge computing, which includes:
creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots;
collecting visitor flow activity information and personalized demand information as first information data;
synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data;
pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated;
feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot;
the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal.
It should be noted that, in the invention, when logging in the edge computing terminal, the tourist can select the tourist mode, and directly enter the exclusive interface of the tourist to obtain the scenic spot service for information interaction; when logging in, the staff and the administrator need to input the registration authority information, including the job number, the name, the bound mobile phone number, the verification code, the login password, the department and the post.
In the scheme, the edge computing node comprises an edge server, an edge storage module and an edge gateway, and can communicate with a cloud computing center through the edge gateway; the edge computing nodes can communicate with each other through a wired or wireless local area network.
It should be noted that the specifically created number of edge computing nodes in the invention is positively correlated with the pedestrian volume and area of each region of the scenic spot, and the distribution positions include the main roads of each scenic spot and the rest areas of the tourists.
In the scheme, the visitor flow information comprises visitor flow, the geographic position of the visitor, the advancing direction of the visitor and the staying time of the visitor; the personalized demand information comprises the problems of tourists about scenic spot routes, the problems of tourists about historical backgrounds of scenic spots, the problems of tourists about charging of scenic spots, the problems of dining guide of tourists and the urgent help information of tourists.
It should be noted that, in the invention, the visitor flow information is obtained by acquiring the acoustic signal, the optical signal and the electrical signal of the visitor flow through the sensors distributed in each scenic spot area and main road.
In this scheme, the specific process of preprocessing the first information data is as follows:
identifying the information type of the first information data according to a preset condition;
sorting and grouping the first information data according to different information types;
screening and filtering the first information data classified into groups, and deleting redundant data which are repeatedly acquired;
deleting invalid information data according to the judgment standard of the valid information data;
and respectively storing the effective information data of different groups into different databases.
It should be noted that, the effective information data of different groups are respectively stored in different databases, so that on one hand, operation and maintenance management is facilitated for workers and managers, and on the other hand, the historical effective information data are conveniently checked and backtracked to perform big data analysis.
In the scheme, the scene areas are cut in a blocking mode, edge computing nodes in each blocking area form an area edge computing network for performing collaborative computing, and the area edge computing networks form a global edge computing network for performing collaborative computing; when a single edge computing node cannot obtain correct feedback through analysis and calculation, the edge computing node initiates a collaborative computing request to an edge computing network of the region to which the edge computing node belongs, and starts regional collaborative computing after other edge computing nodes in the region respond; when a single regional edge computing network cannot obtain correct feedback through regional collaborative computing, the regional edge computing network initiates a collaborative computing request to a global edge computing network, and starts global collaborative computing after obtaining responses of other regional edge computing networks.
It should be noted that, when the global cooperative computing cannot obtain correct feedback, the global edge computing network initiates a cooperative computing request to the cloud computing center, and performs edge cloud cooperative computing after obtaining a cloud computing center response.
In the scheme, the edge computing terminal has a voice recognition function and a scenic spot three-dimensional visualization function and can perform information interaction with a user.
It should be noted that, the user may select to perform information interaction with the edge computing terminal in a voice recognition input manner, or may perform information interaction with the edge computing terminal in a manual keyboard input manner.
In this scheme, the edge calculation node has a people flow adjustment guiding function, specifically as follows:
receiving the analysis and calculation results of other edge calculation nodes in real time;
obtaining the movement trend of the tourists in each scenic spot, and calculating the visitor flow P of the tourists with the current scenic spot as the movement trenda；
Acquiring the current position information of the visitor flow with the movement trend of the current scenic spot, and calculating the total S of the route mileage from the visitor flow to the current scenic spot;
calculating the real-time pedestrian volume P of the tourists accommodated in the current scenic spotbThe real-time pedestrian volume of the tourists with the movement trend of leaving the current scenic spot is Pc；
Carrying out targeted people flow regulation and guidance according to the people flow early warning index W of the current scenic spot, wherein the calculation formula of W is
Wherein, PdAnd omega is a weight coefficient, wherein the weight coefficient is the maximum passenger flow rate which can be accommodated by the current scenic spot.
It should be noted that, if the people flow early warning index reaches the warning value, the edge computing terminal sends warning details to the mobile terminal bound by the staff to inform the staff of on-site dispersion; and an alarm prompt is sent to the tourist group in a horn broadcast mode, and the tourists are guided to go to other scenic spots with less pedestrian volume and provide a route scheme.
Fig. 2 is a block diagram illustrating a scenic spot management service system based on edge computing according to the present invention.
As shown in fig. 2, a second aspect of the present invention discloses an edge-computing-based scenic region management service system, which is characterized by comprising a memory and a processor, wherein the memory includes an edge-computing-based scenic region management service method program, and when the processor executes the edge-computing-based scenic region management service method program, the following steps are implemented:
creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots;
collecting visitor flow activity information and personalized demand information as first information data;
synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data;
pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated;
feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot;
the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal.
It should be noted that the system of the present invention can be operated in a terminal device such as a server, a PC, a mobile phone, a PAD, and the like.
It should be noted that the processor may be a Central Processing Unit (CPU), other general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It should be noted that, in the invention, when logging in the edge computing terminal, the tourist can select the tourist mode, and directly enter the exclusive interface of the tourist to obtain the scenic spot service for information interaction; when logging in, the staff and the administrator need to input the registration authority information, including the job number, the name, the bound mobile phone number, the verification code, the login password, the department and the post.
In the scheme, the edge computing node comprises an edge server, an edge storage module and an edge gateway, and can communicate with a cloud computing center through the edge gateway; the edge computing nodes can communicate with each other through a wired or wireless local area network.
It should be noted that the specifically created number of edge computing nodes in the invention is positively correlated with the pedestrian volume and area of each region of the scenic spot, and the distribution positions include the main roads of each scenic spot and the rest areas of the tourists.
In the scheme, the visitor flow information comprises visitor flow, the geographic position of the visitor, the advancing direction of the visitor and the staying time of the visitor; the personalized demand information comprises the problems of tourists about scenic spot routes, the problems of tourists about historical backgrounds of scenic spots, the problems of tourists about charging of scenic spots, the problems of dining guide of tourists and the urgent help information of tourists.
It should be noted that, in the invention, the visitor flow information is obtained by acquiring the acoustic signal, the optical signal and the electrical signal of the visitor flow through the sensors distributed in each scenic spot area and main road.
In this scheme, the specific process of preprocessing the first information data is as follows:
identifying the information type of the first information data according to a preset condition;
sorting and grouping the first information data according to different information types;
screening and filtering the first information data classified into groups, and deleting redundant data which are repeatedly acquired;
deleting invalid information data according to the judgment standard of the valid information data;
and respectively storing the effective information data of different groups into different databases.
It should be noted that, the effective information data of different groups are respectively stored in different databases, so that on one hand, operation and maintenance management is facilitated for workers and managers, and on the other hand, the historical effective information data are conveniently checked and backtracked to perform big data analysis.
In the scheme, the scene areas are cut in a blocking mode, edge computing nodes in each blocking area form an area edge computing network for performing collaborative computing, and the area edge computing networks form a global edge computing network for performing collaborative computing; when a single edge computing node cannot obtain correct feedback through analysis and calculation, the edge computing node initiates a collaborative computing request to an edge computing network of the region to which the edge computing node belongs, and starts regional collaborative computing after other edge computing nodes in the region respond; when a single regional edge computing network cannot obtain correct feedback through regional collaborative computing, the regional edge computing network initiates a collaborative computing request to a global edge computing network, and starts global collaborative computing after obtaining responses of other regional edge computing networks.
It should be noted that, when the global cooperative computing cannot obtain correct feedback, the global edge computing network initiates a cooperative computing request to the cloud computing center, and performs edge cloud cooperative computing after obtaining a cloud computing center response.
In the scheme, the edge computing terminal has a voice recognition function and a scenic spot three-dimensional visualization function and can perform information interaction with a user.
It should be noted that, the user may select to perform information interaction with the edge computing terminal in a voice recognition input manner, or may perform information interaction with the edge computing terminal in a manual keyboard input manner.
In this scheme, the edge calculation node has a people flow adjustment guiding function, specifically as follows:
receiving the analysis and calculation results of other edge calculation nodes in real time;
obtaining the movement trend of the tourists in each scenic spot, and calculating the visitor flow P of the tourists with the current scenic spot as the movement trenda；
Acquiring the current position information of the visitor flow with the movement trend of the current scenic spot, and calculating the total S of the route mileage from the visitor flow to the current scenic spot;
calculating the real-time pedestrian volume P of the tourists accommodated in the current scenic spotbThe real-time pedestrian volume of the tourists with the movement trend of leaving the current scenic spot is Pc；
Carrying out targeted people flow regulation and guidance according to the people flow early warning index W of the current scenic spot, wherein the calculation formula of W is
Wherein, PdAnd omega is a weight coefficient, wherein the weight coefficient is the maximum passenger flow rate which can be accommodated by the current scenic spot.
It should be noted that, if the people flow early warning index reaches the warning value, the edge computing terminal sends warning details to the mobile terminal bound by the staff to inform the staff of on-site dispersion; and an alarm prompt is sent to the tourist group in a horn broadcast mode, and the tourists are guided to go to other scenic spots with less pedestrian volume and provide a route scheme.
In the scheme, the scenic spot management service system based on the edge calculation comprises an information data acquisition module, an information data processing module, an information data analysis and calculation module and an analysis and calculation result output module.
In a third aspect, the present invention discloses a computer-readable storage medium, which includes a program of a scenic region management service method based on edge computing of a machine, and when the program of the scenic region management service method based on edge computing is executed by a processor, the steps of the scenic region management service method based on edge computing are implemented.
By utilizing the edge computing technology, the scenic spot management service intelligentization is realized, the efficiency of the scenic spot management service is improved, and the computing pressure of a cloud end is effectively reduced.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Claims (10)
1. A scenic spot management service method based on edge calculation is characterized by comprising the following steps:
creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots;
collecting visitor flow activity information and personalized demand information as first information data;
synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data;
pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated;
feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot;
the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal.
2. The edge computing-based scenic spot management service method according to claim 1, wherein the edge computing node comprises an edge server, an edge storage module and an edge gateway, and can communicate with the cloud computing center through the edge gateway; the edge computing nodes can communicate with each other through a wired or wireless local area network.
3. The scenic spot management service method based on edge computing as claimed in claim 1, wherein the visitor flow information includes visitor flow, visitor geographical location, visitor heading, visitor stay time; the personalized demand information comprises the problems of tourists about scenic spot routes, the problems of tourists about historical backgrounds of scenic spots, the problems of tourists about charging of scenic spots, the problems of dining guide of tourists and the urgent help information of tourists.
4. The method for scenic spot management service based on edge computing as claimed in claim 1, wherein the specific process of preprocessing the first information data is as follows:
identifying the information type of the first information data according to a preset condition;
sorting and grouping the first information data according to different information types;
screening and filtering the first information data classified into groups, and deleting redundant data which are repeatedly acquired;
deleting invalid information data according to the judgment standard of the valid information data;
and respectively storing the effective information data of different groups into different databases.
5. The method according to claim 1, wherein the scenic spot is partitioned into blocks, edge computing nodes in each partitioned area form an area edge computing network for performing cooperative computing, and each area edge computing network forms a global edge computing network for performing cooperative computing; when a single edge computing node cannot obtain correct feedback through analysis and calculation, the edge computing node initiates a collaborative computing request to an edge computing network of the region to which the edge computing node belongs, and starts regional collaborative computing after other edge computing nodes in the region respond; when a single regional edge computing network cannot obtain correct feedback through regional collaborative computing, the regional edge computing network initiates a collaborative computing request to a global edge computing network, and starts global collaborative computing after obtaining responses of other regional edge computing networks.
6. The method as claimed in claim 1, wherein the edge computing terminal has a voice recognition function and a scenic region three-dimensional visualization function, and can interact with information of a user.
7. The scenic spot management service method based on edge computing as claimed in claim 1, wherein the edge computing node has a people flow adjustment guiding function, specifically as follows:
receiving the analysis and calculation results of other edge calculation nodes in real time;
obtaining the movement trend of the tourists in each scenic spot, and calculating the visitor flow P of the tourists with the current scenic spot as the movement trenda；
Acquiring the current position information of the visitor flow with the movement trend of the current scenic spot, and calculating the total S of the route mileage from the visitor flow to the current scenic spot;
calculating the real-time pedestrian volume P of the tourists accommodated in the current scenic spotbThe real-time pedestrian volume of the tourists with the movement trend of leaving the current scenic spot is Pc；
Carrying out targeted people flow regulation and guidance according to the people flow early warning index W of the current scenic spot, wherein the calculation formula of W is
Wherein, PdAnd omega is a weight coefficient, wherein the weight coefficient is the maximum passenger flow rate which can be accommodated by the current scenic spot.
8. An edge-computing-based scene management service system, comprising a memory and a processor, wherein the memory includes an edge-computing-based scene management service method program, and when the processor executes the edge-computing-based scene management service method program, the method includes the following steps:
creating distributed edge computing nodes according to the daily people flow density and the geographical positions of the scenic spots;
collecting visitor flow activity information and personalized demand information as first information data;
synchronously transmitting the acquired first information data to an edge computing node for preprocessing, wherein a preprocessing result is used as second information data;
pre-stored data of an edge calculation area to which the information acquisition point belongs are synthesized, and second information data are analyzed and calculated;
feeding back the analysis and calculation results to the edge calculation terminals and the cloud calculation center of each region in the scenic spot;
the user obtains related rights including visitor rights, staff rights and administrator rights by logging in the edge computing terminal.
9. The system of claim 8, wherein the system comprises an information data acquisition module, an information data processing module, an information data analysis and calculation module, and an analysis and calculation result output module.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a program of an edge-computing-based scene management service method of a machine, and when the program of the edge-computing-based scene management service method is executed by a processor, the steps of implementing the edge-computing-based scene management service method according to any one of claims 1 to 7 are implemented.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112954059A (en) * | 2021-02-19 | 2021-06-11 | 深圳宏芯宇电子股份有限公司 | Computing power sharing method, computing power sharing system and storage medium |
| CN113128831A (en) * | 2021-03-11 | 2021-07-16 | 特斯联科技集团有限公司 | People flow guiding method and device based on edge calculation, computer equipment and storage medium |
| CN113674537A (en) * | 2021-07-02 | 2021-11-19 | 宁德师范学院 | City tourism visitor intelligence split flow system |
| CN115150932A (en) * | 2022-09-01 | 2022-10-04 | 深圳慧城智联科技有限公司 | Edge gateway communication information synchronization method based on 5G |
| CN115189999A (en) * | 2022-07-20 | 2022-10-14 | 贵州电网有限责任公司 | System and method for managing cloud computing service |
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2020
- 2020-05-27 CN CN202010460375.1A patent/CN111638955A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112954059A (en) * | 2021-02-19 | 2021-06-11 | 深圳宏芯宇电子股份有限公司 | Computing power sharing method, computing power sharing system and storage medium |
| CN113128831A (en) * | 2021-03-11 | 2021-07-16 | 特斯联科技集团有限公司 | People flow guiding method and device based on edge calculation, computer equipment and storage medium |
| CN113674537A (en) * | 2021-07-02 | 2021-11-19 | 宁德师范学院 | City tourism visitor intelligence split flow system |
| CN115189999A (en) * | 2022-07-20 | 2022-10-14 | 贵州电网有限责任公司 | System and method for managing cloud computing service |
| CN115189999B (en) * | 2022-07-20 | 2023-08-22 | 贵州电网有限责任公司 | System and method for managing cloud computing services |
| CN115150932A (en) * | 2022-09-01 | 2022-10-04 | 深圳慧城智联科技有限公司 | Edge gateway communication information synchronization method based on 5G |
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