CN106982152A - Broadcast the sampling monitoring method of service state - Google Patents
Broadcast the sampling monitoring method of service state Download PDFInfo
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- CN106982152A CN106982152A CN201710254942.6A CN201710254942A CN106982152A CN 106982152 A CN106982152 A CN 106982152A CN 201710254942 A CN201710254942 A CN 201710254942A CN 106982152 A CN106982152 A CN 106982152A
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- grid
- server
- monitoring method
- networking
- service state
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
- H04L43/022—Capturing of monitoring data by sampling
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- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
A kind of sampling monitoring method for broadcasting service state, using UML physical models, the UML physical models include triangle networking table, server table and grid table；Triangle networking table stores the information of networking, including physical base station, triangle networking state；Server table stores the information of server, including IP address, server state；Grid table stores the information of all grids, including grid name, grid and the incidence relation of networking and the incidence relation with server, and grid table uses isCheck fields, for preserving whether grid table is grid table that sampling is chosen.The present invention uses triangle networking, it is only necessary to sampling one grid of monitoring, so needs the monitoring server quantity used to decline into multiple.
Description
Technical field
The present invention relates to broadcasting service technology field, more particularly to a kind of sampling monitoring method for broadcasting service state.
Background technology
The extensive high accuracy positioning service of broadcasting, usually using grid (minimum unit for providing difference calculation result) skill
Art, by service coverage area gridding.For example, service will cover the whole of China's (total 9,600,000 square kilometres), according to each grid 25
Square kilometre, then take around 400,000 grids.
Any one grid is abnormal, all directly results in this regional service abnormal, it is therefore desirable to monitor the clothes of each grid
Business state.
The technical scheme of prior art is generally as follows：
Using software modeling scheme, allowing in each grid has a Virtual User, while periodic triggers Location Request,
The service state of grid is detected, and then realizes national service condition monitoring.
Because the service of broadcasting uses NTRIP agreements (agreement of differential data transmission to be carried out on the internet, based on TCP/
IP, belongs to application layer protocol, and differential data is positioning and rectifying data), and NTRIP is based on TCP length and connects realization, that is to say, that it is every
Individual grid, all sets up length with server and is connected, therefore service end needs to support about 400,000 concurrent connection number.This resource consumption
It is very big.Every server on the premise of ensureing that system is stable is generally up to about that 30,000 long connection can only be provided.This is also
Theoretical situation, because these connections also need to the CPU and memory source of shared server.This special scenes is serviced broadcasting
Under, the internal memory for taking 2.5M by each connection is calculated, 16G server, can only at most provide 4,000 long under actual conditions
Connection, that is to say, that about 4,000 grids can only be monitored.
As can be seen here, national service state is monitored, is taken around using 100 monitoring servers.This cost is very big.
The content of the invention
Based on above mentioned problem, the present invention proposes a kind of sampling monitoring method for broadcasting service state, can use a small amount of clothes
Business device resource, the state of Fast Monitoring magnanimity grid greatly reduces cost.
The technical solution adopted by the present invention is：
A kind of sampling monitoring method for broadcasting service state, using UML physical models, the UML physical models include three
Angle networking table, server table and grid table；Triangle networking table stores the information of networking；Server table stores the letter of server
Breath；Grid table stores the information of all grids.
Further, the grid table uses isCheck fields, and for preserving the grid table, whether sampling is chosen
Grid table.
Further, the information of the networking includes physical base station, triangle networking state；The information of the server includes
IP address, server state；The information of the grid includes the incidence relation and and server of grid name, grid and networking
Incidence relation.
Further, the sampling monitoring method includes randomAssign processes；FetchGridByIp processes,
CheckGridStatus processes and updateGridStatus processes, monitored object include server table and database.
Further, the randomAssign processes include：
Server table is randomly assigned a grid table in each triangle networking table, is used as the state of the triangle networking table
Monitor grid；Database manipulation is then the isCheck fields for safeguarding grid table；
All grid tables for indicating isCheck are evenly distributed on Servers-all table；Database manipulation is then to safeguard
The serverId fields of grid table.
Further, the fetchGridByIp processes are used to obtain the grid table that server table needs to monitor.
Further, the server table that obtains needs the grid table step monitored as follows：
IP is obtained first and inquires about server ID in server table, and grid is then inquired about in grid table according to serverId
Information, finally returns to grid table.
Further, the checkGridStatus processes are used for the letter for checking grid in the grid table got one by one
Breath.
Further, the checkGridStatus processes use multithreading.
Further, the updateGridStatus processes are responsible for the information batch of the grid of return being written to data
In storehouse.
The present invention broadcasts server during difference resolves (i.e. the calculating process of differential data), uses triangle networking
(delta-shaped region being made up of three neighbouring physical base stations) technology, all grids in same triangle networking have with
Lower feature：
1st, identical calculation result；
2nd, identical service state.
Because all grids in same triangle networking all have identical service state, that is to say, that these grids are such as
Exception occurs for fruit, then can be simultaneously abnormal, will also recover simultaneously when recovering normal.Same triangle networking, it is only necessary to sampling monitoring
One grid.Therefore it is aobvious the beneficial effects of the present invention are, it is necessary to the monitoring server quantity used will decline into multiple
Work reduces cost.
Brief description of the drawings
Fig. 1 is UML physical models of the present invention.
Fig. 2 is flow timing diagram of the present invention.
Embodiment
The present invention service of broadcasting, using the grid in triangle networking technology, i.e. certain area, makes during difference resolving
With the calculation result of same triangle networking.Hereinafter, the present invention is further elaborated in conjunction with the accompanying drawings and embodiments.
The present invention uses UML physical models, as shown in figure 1, a total of 3 core tables, wherein：
It is as shown below, a total of 3 core tables, wherein：
1st, triangle networking table, stores the information such as the information of networking, including physical base station, triangle networking state；
2nd, server table, stores the information of server, including IP address, server state etc.；
3rd, grid table, stores the information of all grids, includes incidence relation, the Yi Jiyu of grid name, grid and networking
The incidence relation of server.Additionally need and pay special attention to, because being sampling monitoring, isCheck fields have been used, for preserving this
Whether grid table is the grid chosen of sampling.
Fig. 2 is flow timing diagram of the present invention, and whole process is related to two roles of server table and database, detailed friendship
Mutual running is as follows：
1st, function randomAssign.This process mainly has two work：
1.1st, server table can be randomly assigned a grid table in each triangle networking table, be used as this triangle networking
Condition monitoring grid.Corresponding database manipulation is then the isCheck fields for safeguarding grid table；
1.2nd, by all grids for indicating isCheck, it is evenly distributed on Servers-all table.Corresponding database manipulation
It is then the serverId fields for safeguarding grid table.
2nd, function fetchGridByIp.This process, which is mainly, obtains the grid table that book server table needs to monitor.First
IP is obtained in server table inquiry server ID (serverId), the letter of grid is then inquired about in grid table according to serverId
Breath, is then back to grid table.
3rd, function checkGridStatus.This process is mainly checked in the grid table got in previous step one by one
The information of grid.Multithreading can be used under normal circumstances, and state outcome is obtained at faster speed.
4th, function updateGridStatus.This process is then responsible for the information for the grid that will be returned in previous step, batch
It is written in database
Preferentially developed in embodiments of the present invention using JAVA language, the ripe NIO of JAVA language be (non-obstruction
IO compilation models) network service and multithreading exploitation class libraries, be especially suitable for the present invention be previously mentioned TCP length connection etc. scene.
There is a kind of alternative solution, the object of the invention can also be realized, using less machine, monitoring broadcasts clothes on a large scale
Business：Reduce look-in frequency.It will such as detect within every 20 seconds originally, and be revised as detection in every 40 seconds once, system occupancy resource will reduce near
Half.
Although the present invention is disclosed as above with preferred embodiment, it is not for limiting the present invention, any this area
Technical staff without departing from the spirit and scope of the present invention, may be by the methods and techniques content of the disclosure above to this hair
Bright technical scheme makes possible variation and modification, therefore, every content without departing from technical solution of the present invention, according to the present invention
Any simple modifications, equivalents, and modifications made to above example of technical spirit, belong to technical solution of the present invention
Protection domain.
Claims (10)
1. a kind of sampling monitoring method for broadcasting service state, it is characterised in that use UML physical models, the UML entities mould
Type includes triangle networking table, server table and grid table；Triangle networking table stores the information of networking；Server table stores clothes
The information of business device；Grid table stores the information of all grids.
2. a kind of sampling monitoring method for broadcasting service state as claimed in claim 1, it is characterised in that the grid table makes
IsCheck fields are used, for preserving whether the grid table is the grid table chosen of sampling.
3. a kind of sampling monitoring method for broadcasting service state as claimed in claim 1, it is characterised in that the letter of the networking
Breath includes physical base station, triangle networking state；The information of the server includes IP address, server state；The grid
Information includes grid name, grid and the incidence relation of networking and the incidence relation with server.
4. a kind of sampling monitoring method for broadcasting service state as claimed in claim 2, it is characterised in that the sampling monitoring
Method includes randomAssign processes；FetchGridByIp processes, checkGridStatus processes and
UpdateGridStatus processes, monitored object includes server table and database.
5. a kind of sampling monitoring method for broadcasting service state as claimed in claim 4, it is characterised in that described
RandomAssign processes include：
Server table is randomly assigned a grid table in each triangle networking table, is used as the condition monitoring of the triangle networking table
Grid；Database manipulation is then the isCheck fields for safeguarding grid table；
All grid tables for indicating isCheck are evenly distributed on Servers-all table；Database manipulation is then to safeguard grid
The serverId fields of table.
6. a kind of sampling monitoring method for broadcasting service state as claimed in claim 5, it is characterised in that described
FetchGridByIp processes are used to obtain the grid table that server table needs to monitor.
7. a kind of sampling monitoring method for broadcasting service state as claimed in claim 6, it is characterised in that the acquisition service
Device table needs the grid table step monitored as follows：
IP is obtained first and inquires about server ID in server table, then inquires about the letter of grid in grid table according to serverId
Breath, finally returns to grid table.
8. a kind of sampling monitoring method for broadcasting service state as claimed in claim 7, it is characterised in that described
CheckGridStatus processes are used for the information for checking grid in the grid table got one by one.
9. a kind of sampling monitoring method for broadcasting service state as claimed in claim 8, it is characterised in that described
CheckGridStatus processes use multithreading.
10. a kind of sampling monitoring method for broadcasting service state as claimed in claim 9, it is characterised in that described to be
DateGridStatus processes are responsible for the information batch of the grid of return being written in database.
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| CN201710254942.6A CN106982152B (en) | 2017-04-18 | 2017-04-18 | Broadcast the sampling monitoring method of service state |
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| CN106982152B CN106982152B (en) | 2019-05-07 |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2348080A (en) * | 1999-01-19 | 2000-09-20 | Dominic Conrad Lakin | Child position monitoring |
| CN101720095A (en) * | 2009-11-18 | 2010-06-02 | 首都师范大学 | Monitoring sensor node deployment method and device |
| CN101986758A (en) * | 2010-11-10 | 2011-03-16 | 河海大学常州校区 | Method for positioning wireless sensor network |
| CN102664927A (en) * | 2012-04-01 | 2012-09-12 | Ut斯达康通讯有限公司 | Building advertisement system and realization method thereof |
| CN104067322A (en) * | 2011-12-15 | 2014-09-24 | 巴里·布鲁克 | System and method for tracking lost subjects |
| CN104063301A (en) * | 2014-07-02 | 2014-09-24 | 网神信息技术（北京）股份有限公司 | Monitoring method and device |
| CN105678846A (en) * | 2016-02-22 | 2016-06-15 | 武汉华信联创技术工程有限公司 | Three-dimensional visualization method and system for real-time meteorological networking radar data |
| CN106028363A (en) * | 2016-05-10 | 2016-10-12 | 浙江树人大学 | Positioning method for wireless sensor network nodes with mobile beacon nodes |
| CN106019331A (en) * | 2015-08-28 | 2016-10-12 | 千寻位置网络有限公司 | Non-difference correction distributed processing method and system |
| CN106357430A (en) * | 2016-08-29 | 2017-01-25 | 桂林浩新科技服务有限公司 | Method and system for service state monitoring of cloud computing cluster |
-
2017
- 2017-04-18 CN CN201710254942.6A patent/CN106982152B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2348080A (en) * | 1999-01-19 | 2000-09-20 | Dominic Conrad Lakin | Child position monitoring |
| CN101720095A (en) * | 2009-11-18 | 2010-06-02 | 首都师范大学 | Monitoring sensor node deployment method and device |
| CN101986758A (en) * | 2010-11-10 | 2011-03-16 | 河海大学常州校区 | Method for positioning wireless sensor network |
| CN104067322A (en) * | 2011-12-15 | 2014-09-24 | 巴里·布鲁克 | System and method for tracking lost subjects |
| CN102664927A (en) * | 2012-04-01 | 2012-09-12 | Ut斯达康通讯有限公司 | Building advertisement system and realization method thereof |
| CN104063301A (en) * | 2014-07-02 | 2014-09-24 | 网神信息技术（北京）股份有限公司 | Monitoring method and device |
| CN106019331A (en) * | 2015-08-28 | 2016-10-12 | 千寻位置网络有限公司 | Non-difference correction distributed processing method and system |
| CN105678846A (en) * | 2016-02-22 | 2016-06-15 | 武汉华信联创技术工程有限公司 | Three-dimensional visualization method and system for real-time meteorological networking radar data |
| CN106028363A (en) * | 2016-05-10 | 2016-10-12 | 浙江树人大学 | Positioning method for wireless sensor network nodes with mobile beacon nodes |
| CN106357430A (en) * | 2016-08-29 | 2017-01-25 | 桂林浩新科技服务有限公司 | Method and system for service state monitoring of cloud computing cluster |
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| CN106982152B (en) | 2019-05-07 |
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Address after: 200438 9 / F, 10 / F, 11 / F, 12 / F, 38 Lane 1688, Guoquan North Road, Yangpu District, Shanghai Patentee after: QIANXUN SPATIAL INTELLIGENCE Inc. Address before: Room j165, 1st floor, building 64, 1436 Jungong Road, Yangpu District, Shanghai, 200433 Patentee before: QIANXUN SPATIAL INTELLIGENCE Inc. |