CN205912088U - Little guide system based on high in clouds server - Google Patents
Little guide system based on high in clouds server Download PDFInfo
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- CN205912088U CN205912088U CN201620959429.8U CN201620959429U CN205912088U CN 205912088 U CN205912088 U CN 205912088U CN 201620959429 U CN201620959429 U CN 201620959429U CN 205912088 U CN205912088 U CN 205912088U
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Abstract
The utility model discloses a little guide system based on high in clouds server, include: including the supervisory arrangement server, the supervisory arrangement server links to each other with the computer, the supervisory arrangement server is used for receiving scenic spot information that the computer uploaded and transmission to the database server and the resource CDN server that link to each other with it respectively, and database server is connected to the high in the clouds server, the high in the clouds server links to each other with the load balancing server, resource CDN server and load balancing server are respectively through internet access to customer end. The utility model discloses the deployment cost has effectively been reduced. The utility model discloses in the actual test, server performance that the clustered deploy(ment) can provide is that the twice of old scheme is still many.
Description
Technical field
This utility model is related to Computer Applied Technology field and in particular to a kind of based on micro- guide of cloud server be
System.
Background technology
The development of the popularization with the Internet and travel industry is more rapid, with respect to traditional forms of tourism, leads at present
The guide crossing the software form being arranged in intelligent terminal is micro- guide, but or can exist very in actual Tourist Experience
Many problems, first, app popular in the market supports not in place to scenic spot especially scenery with hills and waters class scenic spot area；Second, scenic spot
Interior explanation not in place it is impossible to preferably experience the cultural connotation at scenic spot.
Prior art Patent application number " 201510420411.0 ", is disclosed and " is led based on the intelligent movable of Cloud Server
Trip guide system ", has hand-drawing map and micro- guide service of speech sound eeplaining can preferably solve existing issue；But, at present
Tourist guide system service end require Large Copacity map storage and disposal ability；Service end requires high-performance, high concurrent, height
Stable.
In order to preferably realize the data-handling capacity to service end, need the upgrading to old service architecture, improve
The performance of server and stability.
Existing server disposition scheme Organization Chart, as shown in figure 1, all systems of existing scheme are all deployed in window
It is contemplated that new stability, new framework moves to server OS centos of specialty to 2008 operating systems.In migration
During system path to be disposed, the problems such as store path.
The concrete technical problems that existing server disposition scheme exists are as follows:
1st, employ independent two-server in currently existing scheme and store jumbo picture, and backed up using software
Operation.So having probability leads to data asynchronous, and alone server has bottleneck on picture access exports, in development one
Cannot be extended again after determining degree.
2nd, currently existing scheme builds load balancing on a tangible machine, does not have complete combating a natural disaster property, once
This server goes wrong, and whole service will stop.
3rd, because scenic spot information and sight spot information are not frequent conversion, so the inquiry pressure of data to be mitigated, existing
These factors are not considered in scheme.
4th, currently existing scheme does not account for the protection of the cross-site attacks such as xrs, and safety is poor.
Utility model content
For solving the deficiency that prior art exists, the utility model discloses a kind of micro- guide system based on cloud server
System, this utility model, due to the introducing of cdn network technology, greatly reduces the pressure of server itself, improves efficiency.
Cloud refers to Cloud Server.
For achieving the above object, concrete scheme of the present utility model is as follows:
A kind of micro- guide system based on cloud server, including management configuration server, described management configuration server
It is connected with computer, described management configuration server is used for receiving the scenic spot information of computer upload and being transmitted separately to phase therewith
Database server even and resource cdn server, database server connects to cloud server, described cloud server with
Load-balanced server is connected；Described resource cdn server and load-balanced server pass through network connection respectively to client.
Further, described database server is connected to cloud server, the quantity of cloud server by api interface
For multiple.
Further, described resource cdn server and load-balanced server pass through cdn network connection respectively to client
End.
Further, described client is intelligent mobile terminal, and described intelligent mobile terminal passes through wechat or app software connects
Be connected to cdn network, resource request carried out by cdn network and api request accesses resource data and api data, carry out inquiry and
Browse scenic spot data.
Further, it is configured with mirrored storage in described resource cdn server, the data processing in management configuration server
It is synchronized to the node server being attached thereto.
Further, described cdn network is the third party's service adopting, to the map datum needing in micro- guide and voice
Data is transmitted.
Further, described resource cdn server is connected with the server of multiple node machine rooms, and resource cdn server will
, there is not data from node machine room in the unidirectional server being synchronized to each node machine room of data that management configuration server transport comes
Server transport, in resource cdn server, only has the server that data delivers to Node station room from resource cdn server push.
Further, add top layer blocker in described management configuration server, limit cross-site attack.
The beneficial effects of the utility model:
1st, this utility model effectively reduces lower deployment cost, new architectural schemes be the input of original scheme five/
One.In this utility model actual test, the available server performance of clustered deploy(ment) is more than the twice of old scheme.
2nd, this utility model cdn network is the third party's service adopting, and the cdn that third-party software service is carried out accelerates to draw
Enter, client (app and wechat) and server end employ cdn network, to the map datum needing in micro- guide and voice number
According to being transmitted.Due to the introducing of cdn network technology, greatly reduce the pressure of server itself, improve efficiency.
3rd, this utility model map datum is deployed to national more than ten node machine room, and user's access speed increases substantially,
Client end experience more preferably optimizes, and communication and synchronization are automatically performed.There is not data from node machine room and be transferred to resource cdn
In server, only have data and deliver to Node station room from resource cdn server push.
4th, this utility model map and speech data employ high in the clouds backup it is ensured that the safety and stability of data.
5th, service end of the present utility model does not have other data during to data transfer, and processing procedure is not produced
Raw intermediate data is it is ensured that the integrity of data.
6th, in this utility model new departure, api server provides and easily can expand interface, can be very inexpensive fast
The performance of fast expansion service device.Server number can easily be expanded when the pressure of api server reaches maximum to reach
To the purpose providing cluster service performance.
Brief description
Fig. 1 former server disposition scheme Organization Chart；
Fig. 2 server disposition of the present utility model scheme Organization Chart.
Specific embodiment:
Below in conjunction with the accompanying drawings this utility model is described in detail:
As shown in Fig. 2 server disposition scheme framework of the present utility model, client include iuu app, iuu wechat,
Saas app, saas wechat, wherein, saas app can be multiple.2 api servers, a pipe is comprised in server cluster
Reason configuration server, a load-balanced server, a database server.
Saas (software as a service) software services, and represents that software supplier is being not simple payment
Software code itself, but pay some the row services comprising software code as final product.
Specifically, a kind of micro- guide's data processing service end based on cloud of the present invention, specifically includes:
Management configuration server, for receiving the scenic spot information of upload and being managed, configures the service of whole service end
Device information；
Database server, for storing the data of management configuration server transmission and being communicated with api server；
Resource cdn server, is communicated with management configuration server and database server respectively, and realizes same to data
Step is processed；
Api server, api server is all connected with load-balanced server, and load-balanced server is realized to access number
According to load balance process, data distribution will be accessed to api server；
Resource cdn server and load-balanced server are connected to cdn network, realize the communication with client, receive
The access data of client.
Api server is Cloud Server, and api number of servers can be multiple stage, standby each other, when for multiple stage, load
Equalization server is evenly distributed to accessing data on api server.
Management configuration server is connected with computer, computer pass through administration interface by the Word message at scenic spot, picture,
Figure and speech sound eeplaining information are uploaded.
Client is intelligent mobile terminal, and described intelligent mobile terminal is connected to cdn network by wechat or app software,
Resource request is carried out by cdn network and api request accesses resource data and api data, inquired about and browsed scenic spot data.
Resource cdn server enters row cache to client by the resource data that resource request accesses, it is to avoid data
The situation accessing failure occurs.
The hand-drawing map that management configuration server is drawn to the measurement in the scenic spot information receiving carries out Map Compression, compression
Map afterwards carries out map section.
It is configured with mirrored storage, the data syn-chronization processing in management configuration server is to phase therewith in resource cdn server
Server even.
Load-balanced server carries out physics fractionation in load balance process, is deployed on different api servers；
Cdn network is the third party's service adopting, and the map datum and speech data needing in micro- guide is passed
Defeated；
Described resource cdn server is connected with the server of multiple node machine rooms, and management configuration is taken by resource cdn server
, there is not the transmission of data from node server in machine room in the unidirectional server being synchronized to each node machine room of data that business device transmission comes
To in resource cdn server, only have the server that data delivers to Node station room from resource cdn server push.
In addition, a kind of data processing method at the micro- guide's data processing service end based on cloud, comprise the following steps:
By the operation management interface of computer terminal, scenic spot information is uploaded to management configuration server；
Management configuration server is processed to the scenic spot information receiving and the data after processing is transmitted separately to data
Storehouse server and resource cdn server；
Database server completes the data of transmission is stored and database server is connected to cloud by api interface
Server；
It is configured with mirrored storage, by the data syn-chronization processing in management configuration server to therewith in resource cdn server
Connected node server；
Resource cdn server enters row cache to client by the corresponding resource data of resource request of cdn network transmission
Pass through cdn network transmission afterwards again to client；
Cloud Server asks corresponding api data to carry out load balance process by the api of cdn network transmission client
Pass through cdn network transmission again to client.
The app software that in the present invention, user is installed by above-mentioned client is connected to cdn network by api interface, and leads to
Cross server load balancing slb to connect to Cloud Server ecs, the quantity of Cloud Server ecs is two, is two in Fig. 2
Individual api server, one of is standby server, and two are real-time server, backup each other it is possible to expand to many
Individual, most 10, all can keep providing continuous service, and backup each other.
Below in conjunction with the accompanying drawings 1 and accompanying drawing 2 be directed to prior art and the application and illustrate respectively:
As shown in figure 1, all systems of existing scheme are all deployed in window 2008 operating system it is contemplated that new stablizes
Property, new framework moves to server OS centos of specialty.System path to be disposed in transition process, storage
The problems such as path.Linux and window routing problem, is completed by debugging code.
Employ independent two-server in existing scheme and store jumbo picture, and carry out backup behaviour using software
Make.So having probability leads to data asynchronous, and alone server has bottleneck on picture access exports, certain in development
Degree cannot be extended again.Have changed in the application picture is pushed in cdn storage, cdn is content delivery network
Network, the equipment not only comprising to communicate in this network also reports an error and stores and synchronous equipment.
The section of hand-drawing map, in resource cdn server in be configured with mirrored storage, can the multiple node of automatic synchronization it
Between internal synchronize.
Existing scheme builds load balancing on a tangible machine, does not have complete combating a natural disaster property, once this clothes
Business device goes wrong, and whole service will stop.This utility model load-balanced server carry out physics fractionation, be deployed to not
On same machine, refer specifically to two api servers.
So-called fractionation is exactly not dispose multiple services on one machine, but multiple service arrangements are taken to single
On business device；Deployment is the api service that tomcat provides；By jenkins automatic deployment.
Because scenic spot information and sight spot information are not frequent conversion, so the inquiry pressure of data to be mitigated, existing side
Do not consider these factors in case, in the scheme of the application, the Query Result of intelligent terminal carried out corresponding caching,
And be pushed in cdn network.Reduce the configuration of data base simultaneously.
The system of existing scheme does not account for the protection of the cross-site attacks such as xrs, and the service end of the application adds response
Shielding and interception measure.Add top layer blocker in systems, limit cross-site attack.
As shown in Fig. 2 the service end of the application, the realization of operation principle is:
Operator pass through operation management interface, and scenic spot information (is comprised the Word message at scenic spot, picture, map, voice
Explanation etc.) upload and manage, data base and cdn complete the storage to information and synchronization.When user is from client (wechat and app)
When end is inquired about and browsed scenic spot data, api data and resource data are accessed by cdn, cdn can be to resource and api result simultaneously
Enter row cache.And in order to prevent the access of big data quantity, api server has done load balancing.
Although the above-mentioned accompanying drawing that combines is described to specific embodiment of the present utility model, not new to this practicality
The restriction of type protection domain, one of ordinary skill in the art should be understood that on the basis of the technical solution of the utility model, ability
Field technique personnel do not need to pay the various modifications that creative work can make or deformation still in protection model of the present utility model
Within enclosing.
Claims (8)
1. a kind of micro- guide system based on cloud server, is characterized in that, including management configuration server, described management configuration
Server is connected with computer, and described management configuration server is used for receiving the scenic spot information of computer upload and being transmitted separately to
The database server being attached thereto and resource cdn server, database server connects to cloud server, described high in the clouds clothes
Business device is connected with load-balanced server；Described resource cdn server and load-balanced server pass through network connection extremely respectively
Client.
2. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described database service
Device is connected to cloud server by api interface, and the quantity of cloud server is multiple.
3. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described resource cdn clothes
Business device and load-balanced server pass through cdn network connection respectively to client.
4. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described client is intelligence
Energy mobile terminal, described intelligent mobile terminal is connected to cdn network by wechat or app software, carries out resource by cdn network
Request and api request access resource data and api data, are inquired about and browsed scenic spot data.
5. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described resource cdn clothes
It is configured with mirrored storage, the data syn-chronization processing in management configuration server is to the node server being attached thereto in business device.
6. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described cdn network is
Using third party's service, the map datum that needs in micro- guide and speech data are transmitted.
7. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described resource cdn clothes
Business device is connected with the server of multiple node machine rooms, and the data that management configuration server transport is come by resource cdn server is unidirectional
It is synchronized to the server of each node machine room, there is not data from node server in machine room and be transferred in resource cdn server, only
Have the server that data delivers to Node station room from resource cdn server push.
8. a kind of micro- guide system based on cloud server as claimed in claim 1, is characterized in that, described management configuration clothes
Add top layer blocker in business device, limit cross-site attack.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201620959429.8U CN205912088U (en) | 2016-08-26 | 2016-08-26 | Little guide system based on high in clouds server |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201620959429.8U CN205912088U (en) | 2016-08-26 | 2016-08-26 | Little guide system based on high in clouds server |
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| CN205912088U true CN205912088U (en) | 2017-01-25 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117148161A (en) * | 2023-08-29 | 2023-12-01 | 深圳市今朝时代股份有限公司 | Battery SOC estimation method and device based on cloud neural network |
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- 2016-08-26 CN CN201620959429.8U patent/CN205912088U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117148161A (en) * | 2023-08-29 | 2023-12-01 | 深圳市今朝时代股份有限公司 | Battery SOC estimation method and device based on cloud neural network |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170125 |