CN207854192U - A kind of multinode real-time radio pyroelectric monitor control system Internet-based - Google Patents
A kind of multinode real-time radio pyroelectric monitor control system Internet-based Download PDFInfo
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- CN207854192U CN207854192U CN201721793190.2U CN201721793190U CN207854192U CN 207854192 U CN207854192 U CN 207854192U CN 201721793190 U CN201721793190 U CN 201721793190U CN 207854192 U CN207854192 U CN 207854192U
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Abstract
The utility model belongs to radio monitoring technical field more particularly to a kind of multinode real-time radio pyroelectric monitor control system Internet-based, including:Analysis shows that layer:Multi-user needs one task data of real time inspection or multiple users to check multiple real time datas;Show the result data calculated;Service and computation layer:Data of receiving device acquisition, and return to access layer B/S frameworks after handling, entire service uses SOA framework, using the same service managements of ZOOKEEPER, data analysis can cooperated computing together on a different server, and return the result;Mechanical floor:Receive service sort command, acquisition real time data is transmitted to service layer's C/S frameworks, dynamic stability connection.The utility model has the advantages that compared with prior art:The stability for improving system reduces the cost of maintenance;Data sharing is realized, user experience is increased;Increase the quantity that software controls monitoring of equipment;Optimize the processing and calculating to big data quantity.
Description
Technical field
The utility model is related to radio monitoring technical fields, refer specifically to a kind of multinode real-time radio Internet-based
Pyroelectric monitor control system.
Background technology
With the quickening of town and country construction, the electromagnetic environment around people becomes intricate, thing followed electromagnetic environment
Also constantly increasing and reforming in monitoring point.By monitoring the data of electromagnetic environment reflection, population distribution can be clearly understood
Situation, the distribution of the ground radio signal, monitoring and discovery unknown signal etc..In order to ensure the normal life needs and electricity of people
The normal work of sub-information equipment safeguards a good electromagnetic environment, and the electromagnetic environment of monitoring society closely is a kind of certainty
Trend.
The composition of electromagnetic environment is complicated, such as:Have artificially generate as illegally use equipment carry out data communication,
There are many people when unit exception such as lighting headlight imperfect earth, race to use communication apparatus, microwave communication, radio broadcasting etc..
It since the range of monitoring is wide, needs to arrange multiple nodes to be monitored, that is, needs multiple equipment to monitor
And gathered data, equipment will necessarily excessively influence server receptivity, require the server in monitoring that can manage to influence this
Manage multiple equipment.
Monitoring in 7*24 hours acquires a large amount of data, it is desirable that the performance of equipment is high, and background devices handle big data
Ability is strong, this requires the ability in monitoring with processing big data.
In the case of more equipment and big data quantity, the case where server delay machine, interim card are susceptible in monitoring, this will
It asks and cooperates from the background in monitoring.
Most prior arts are operate on one-of-a-kind system, their user interface, the operation flow of application
And perdurable data can all reside on the same computer using bus or cable to connect external equipment.Multiple equipment
Between data be unable to intercommunication, high speed processing is unable to for big data.
Existing monitoring technology can be excessive because of equipment, big data, and causes the reduced performance of the processing of software, or even occurs
The phenomenon that seemingly-dead and collapse, once there are these situations, it will cause the loss of data, and monitor can not using for system.
Utility model content
The utility model overcomes the shortcomings of the prior art, technical problem to be solved to be:It provides a kind of based on mutual
The multinode real-time radio pyroelectric monitor control system of networking.
In order to solve the above-mentioned technical problem, the technical solution adopted in the utility model is:A kind of more piece Internet-based
Point real-time radio pyroelectric monitor control system, including:
Analysis shows that layer:Multi-user needs one task data of real time inspection or multiple users to check multiple real time datas;
Show the result data calculated;
Service and computation layer:The data of receiving device acquisition, and access layer B/S frameworks are returned to after handling, it is entire to service
Using SOA framework, using the same service managements of ZOOKEEPER, data analysis can cooperate with meter together on a different server
It calculates, and returns the result;
Mechanical floor:Receive service sort command, acquisition real time data is transmitted to service layer's C/S frameworks, dynamic stability connection.
The utility model has the advantages that compared with prior art:
1, the stability for improving system reduces the cost of maintenance;
2, data sharing is realized, user experience is increased;
3, the quantity that software controls monitoring of equipment is increased;
4, the processing and calculating to big data quantity are optimized.
Description of the drawings
The utility model is described in more detail below in conjunction with the accompanying drawings.
Fig. 1 is the system framework figure of the utility model.
Fig. 2 is the work flow diagram of the utility model.
Fig. 3 is the multiple server collaborative work flow figures of the utility model.
Fig. 4 is the utility model big data service processing flow chart.
Fig. 5 is the utility model Spark frame diagrams.
Fig. 6 is the utility model batch processing calculation flow chart.
Specific implementation mode
It is new below in conjunction with this practicality to keep the purpose, technical scheme and advantage of the utility model embodiment clearer
Attached drawing in type embodiment, the technical scheme in the utility model embodiment is clearly and completely described, it is clear that is retouched
The embodiment stated is a part of the embodiment of the utility model, instead of all the embodiments;Based on the reality in the utility model
Example is applied, the every other embodiment that those of ordinary skill in the art are obtained without creative efforts all belongs to
In the range of the utility model protection.
As shown in Figure 1, a kind of multinode real-time radio pyroelectric monitor control system Internet-based of the utility model, packet
It includes:
Access layer:Multi-user needs one task data of real time inspection or multiple users to check multiple real time datas;Display
The result data of calculating;
Service and computation layer:The data of receiving device acquisition, and access layer B/S frameworks are returned to after handling, it is entire to service
Using SOA framework, using the same service managements of ZOOKEEPER, data analysis can cooperate with meter together on a different server
It calculates, and returns the result.More equipment can be handled and concurrently run gathered data and analysis data, and being capable of more systematic performance addition
Or deletion service, flexible deployment, calculating speed are fast;
Mechanical floor:Receive service sort command, acquisition real time data is transmitted to service layer's C/S frameworks, dynamic stability connection.In
The connection and interruption of central server real-time watch device, equipment connection and interruption do not influence to service.
As Figure 2-3, workflow is as follows:After monitoring task starts, multiple monitoring devices monitor simultaneously, and service is collected
The data acquired in real time carry out processing calculating to the data of acquisition, and result are preserved, and are provided for subsequent data analysis
Support;
When calculating data analysis, different processing logics is called according to the difference of data type;
Processing logic is packaged into a service, needs registration service before calling the service of calculating, clothes are nullified after the completion of calculating
Business;
One data analysis task, processing logic can on one server, can also be on multiple servers.
When one task needs multiple calculating logics, processing calculating logic is assigned on one or more servers, is located
It is returned the result after having managed.
One calculating task is completed by multiple servers, can guarantee the quick process demand of data.
Total allocation principle:The service that can be used is obtained, and the remaining computing resource serviced according to every is ranked up, really
A fixed threshold value, more than (randomized) is randomly choosed in the service of the threshold value, without most with regard to choosing remaining computing resource
Service (maximum value process).
Service fault tolerant mechanism:Obtain service has certain delay to using service, if the extension of service, delay machine, and power-off etc.
The service of situation, acquisition can not be in use, then need available service again.
Starting point:The configuration of every service and performance difference lead to its computing resource and calculating speed difference, according to calculating
Resource allocation can utilize computer resource very well, avoid wasting and improving performance.
As shown in figure 4, when analyzing history mass data, since data volume is big, need to use distributed treatment.
Spark is one general, quickly, is suitable for the processing engine of large-scale data.Integrate Zookeeper, Spark, MongoDB
The general procedure big data system based on SOA framework of realization, the real time data and history of energy fast processing and analysis radio system
Big data.
Storage of history data P encapsulates Spark algorithms in MongoDB, and the service of calling starts to calculate, and result of calculation is stored in
It in MongoDB, and notifies service user, result data is obtained from MongoDB, be shown to the page.
As shown in figure 5, Spark is the main entrance run as program using SparkContext, in the first of SparkContext
During beginningization, DAGScheduler job schedulings and TaskScheduler task scheduling two-stage tune can be respectively created in Spark
Spend module.Wherein job scheduling module is the high-level scheduling module in task based access control stage, it has for each Spark Activity Calculations
Multiple scheduling phases (being divided generally according to shuffle) of dependence, then for each stage construct one group it is specific
Task (locality etc. that would generally consider data), then submits to task scheduling modules in the form of TaskSets (task groups)
Specifically execute.And task scheduling modules are then responsible for specific startup task, monitoring and report task run situation.
Fig. 6 is the flow chart of Spark calculating tasks, and the statistical analysis of data is simultaneously in calculative task, such as 1 year
Data sheet is obtained, data have been stored in advance inside database.
Task is delivered to master, it is then pre-loaded needed for reference data, Broadcast be exactly these in memory
Data copy to the JVM of each Spark calculate node, then all calculate node multi-thread concurrents execute, and call oneself
Calculating logic, after obtaining a result, and preserve back in database (MongoDB).
Finally it should be noted that:The above various embodiments is only to illustrate the technical solution of the utility model, rather than limits it
System;Although the utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should
Understand:It still can be with technical scheme described in the above embodiments is modified, either to which part or whole
Technical characteristic carries out equivalent replacement;And these modifications or replacements, this practicality that it does not separate the essence of the corresponding technical solution are new
The range of each embodiment technical solution of type.
Claims (1)
1. a kind of multinode real-time radio pyroelectric monitor control system Internet-based, which is characterized in that including:
Analysis shows that layer:Multi-user needs one task data of real time inspection or multiple users to check multiple real time datas;Display
The result data of calculating;
Service and computation layer:The data of receiving device acquisition, and access layer B/S frameworks are returned to after handling, entire service uses
SOA framework, using the same service managements of ZOOKEEPER, data analysis can cooperated computing together on a different server, and
It returns the result;
Mechanical floor:Receive service sort command, acquisition real time data is transmitted to service layer's C/S frameworks, dynamic stability connection.
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CN201721793190.2U CN207854192U (en) | 2017-12-20 | 2017-12-20 | A kind of multinode real-time radio pyroelectric monitor control system Internet-based |
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Address after: Block C, No. 7, Lane 205, Gaoji Road, Songjiang District, Shanghai, 201601 Patentee after: Chuangyuan Xinke (Shanghai) Technology Co.,Ltd. Address before: 200000 building 6, No. 351, siban Road, Sijing Town, Songjiang District, Shanghai Patentee before: TRANSCOM INSTRUMENTS Co.,Ltd. |