CN206541173U - A kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence - Google Patents
A kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence Download PDFInfo
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- CN206541173U CN206541173U CN201720229611.2U CN201720229611U CN206541173U CN 206541173 U CN206541173 U CN 206541173U CN 201720229611 U CN201720229611 U CN 201720229611U CN 206541173 U CN206541173 U CN 206541173U
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Abstract
The utility model discloses a kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence, including central controller and distributed treatment terminal, the distributed treatment terminal and central controller are by cloud database exchange monitoring data, and the distributed treatment terminal includes human-computer interaction interface and alarm module；The central controller includes microprocessor and data reception module, it is connected between the microprocessor and data reception module by spi bus, FSL buses, the microprocessor connects bipolar random access memory port, interrupt control unit, timer and network sending module by PLB buses, one input of the data reception module connects A/D sampling modules by bluetooth or ZigBee connection wireless senser groups, another input of the data reception module by data/address bus.The utility model can realize three re-detections to indicator transmitter, conveniently realize fault alarm, greatly improve monitoring efficiency.
Description
Technical field
The utility model is related to a kind of emitter prewarning monitoring system, more particularly to a kind of intermediate waves based on artificial intelligence
Emitter prewarning monitoring system.
Background technology
Quality requirement more and more higher of the people to TV and broadcast singal, it is ensured that what intermediate waves emitter can be broadcasted normally
Monitoring system, which just seems, to be even more important.Realize that operation automation and the monitoring of effective technology are to ensure that TV Safe Broadcasting
Important step, is to prevent human accident, improve the technical guarantee for broadcasting security.And traditional emitter detecting system is to adopt
The data of collection are made decisions using algorithm, and for inaccurate, uncertain or incomplete highly difficult challenge, algorithm can not
The perfect judgement for realizing failure.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of intermediate waves emitter early warning based on artificial intelligence
Monitoring system, can help user to carry out Multiple detection to indicator transmitter, and conveniently realize fault alarm.
The utility model for solve the above-mentioned technical problem technical scheme that uses be to provide it is a kind of based on artificial intelligence
Intermediate waves emitter prewarning monitoring system, including central controller and distributed treatment terminal, the distributed treatment terminal and
Central controller includes human-computer interaction interface and alarm by cloud database exchange monitoring data, the distributed treatment terminal
Module；The central controller includes microprocessor and data reception module, between the microprocessor and data reception module
It is connected by spi bus, FSL buses, the microprocessor connects bipolar random access memory port by PLB buses, interrupted
Controller, timer and network sending module, an input of the data reception module are connected by bluetooth or ZigBee
Wireless senser group is connect, another input of the data reception module connects A/D sampling modules by data/address bus.
The above-mentioned intermediate waves emitter prewarning monitoring system based on artificial intelligence, wherein, the microprocessor is
MicroBlaze processors, the data reception module is connected respectively to FSL interface modules and data analysis and processing module, described
FSL interface modules connect MicroBlaze processors by FSL buses, and the control end of the Data Analysis Services module passes through
Spi bus is connected with MicroBlaze processors, and the data terminal of the Data Analysis Services module passes through Bram dual-ports, PLB
Bus is connected with MicroBlaze processors, and the MicroBlaze processors are connected by network sending module and database,
The human-computer interaction interface module, alarm module and database connection.
The above-mentioned intermediate waves emitter prewarning monitoring system based on artificial intelligence, wherein, the wireless senser group bag
Temperature sensor, humidity sensor and Smoke Sensor are included, line number is entered by bluetooth or ZIGBEE between each wireless senser
According to transmission, autoalarm is provided with each wireless senser.
The above-mentioned intermediate waves emitter prewarning monitoring system based on artificial intelligence, wherein, the database includes being used for
Store the historical operating parameter storehouse of history parameters, for storing the real-time parameter database gathered by acquisition module and being used for
Store the technological know-how database of failover technique reference data.
The utility model contrast prior art has following beneficial effect：The utility model provide based on artificial intelligence
Intermediate waves emitter prewarning monitoring system, in addition to using the existing Indexs measure subsystem based on algorithmic decision, is also utilized
The preferential part index number to emitter of wireless senser subsystem is monitored, while in people's industry and traffic of distributed treatment terminal
The mutual enterprising pedestrian's work detection in interface, so as to realize three re-detections to indicator transmitter, conveniently realizes fault alarm, greatly improves
Monitoring efficiency.
Brief description of the drawings
Fig. 1 is intermediate waves emitter prewarning monitoring system configuration diagram of the utility model based on artificial intelligence.
Embodiment
The utility model will be further described with reference to the accompanying drawings and examples.
Fig. 1 is intermediate waves emitter prewarning monitoring system configuration diagram of the utility model based on artificial intelligence.
Refer to Fig. 1, the intermediate waves emitter prewarning monitoring system based on artificial intelligence that the utility model is provided, including
Data acquisition module, data reception module, FSL interface modules, Data Analysis Services module, Bram dual-ports, MicroBlaze
Processor, mixed-media network modules mixed-media, database, artificial intelligence engine, human-computer interaction interface and alarm module.Data reception module and data
Analysis and processing module can use existing various universal data collection processing modules, no longer enumerate one by one herein.These modules
Between annexation it is as follows：Data acquisition module includes various wireless sensers and A/D sampling modules are all connected to data and connect
Module is received, wireless senser group is connected with alarm module, and data reception module is connected respectively to FSL interface modules and data analysis
Processing module, FSL interface modules connect MicroBlaze processors by FSL buses, and Data Analysis Services module passes through respectively
Spi bus and connection Bram dual-ports are connected by PLB buses with MicroBlaze processors, mixed-media network modules mixed-media and MicroBlaze
Processor and database connection, database are connected with human-computer interaction interface module, artificial intelligence engine and alarm module.Data connect
Receive module, Data Analysis Services module, microprocessor, Network Interface Module is compared to one " cabinet ", is central controller, " machine
The effect of case " is control and interaction.Alarm module, database, human-computer interaction interface, precaution device are compared to one " display ",
For distributed terminal, the effect of " display " is display critical data and alarm condition.
Sampled data of the present utility model is shown in man-machine by Data Analysis Services module and MicroBlaze processors
On interactive interface, user intuitively can observe and listen to detection data on interface, and alert process is realized according to artificial experience；
In addition, user can set alarm threshold in Indexs measure module, system automatic data-detection realizes warning function；It is more excellent
Database and warning message provide initial data for artificial intelligence module in ground, system, for its study, realize warning function.On
Stating four parts can also be combined and be operated together with independent operating, realize distributed short-wave transmitter fault alarm and early warning system
System.
The real time information of court verdict and collection signal that MicroBlaze processors of the present utility model are obtained passes through
TCP/IP stones control network interface realized on software, using cloud by court verdict and gathered data automatically save in
High in the clouds.When alarm failure occurs, into fault diagnosis platform, trouble point and failure cause are provided, only staff will
After fault treating procedure and result input system, fault cues can just be eliminated automatically.Relative recording data are stored in high in the clouds
Database.
Distributed intermediate waves emitter prewarning monitoring system of the present utility model based on artificial intelligence, can not only be used
The existing various Indexs measure subsystems based on algorithmic decision, also utilize the intelligent preferential to hair of wireless senser subsystem
The part index number for penetrating machine is monitored, while also possessing artificial detection function on man-machine interactively interface, can easily be utilized
The Heuristics of expert makes inferences judgement, and three re-detections are carried out to indicator transmitter, and distributed monitoring is carried out to emitter.
Meanwhile, the utility model easily further can also solve that those are probabilistic using artificial intelligence module,
Irrealizable difficult problem the existing machine such as non-structured.It is distributed using classical intelligence system and artificial intelligence system
Operation, ability and performance boost ability are derived with outstanding program.Artificial intelligence module includes workable for the utility model
The artificial intelligence study of three phases, artificial intelligence study stage, primary artificial intelligence stage and depth artificial intelligence stage.It
Historical failure case can be automatically analyzed, the feature before failure occurs is found out, and be currently based on these feature real-time judges
The running status of system.Once the feature before system detectio to historical failure, it is possible to alarm, that is, reached in advance before failure generation
The function of failure is predicted, no longer expansion is repeated one by one herein.
Although the utility model is disclosed as above with preferred embodiment, so it is not limited to the utility model, any
Those skilled in the art, are not departing from spirit and scope of the present utility model, when can make a little modification and perfect, therefore this
The protection domain of utility model is when by being defined that claims are defined.
Claims (4)
1. a kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence, it is characterised in that including central controller and
Distributed treatment terminal, the distributed treatment terminal and central controller are described by cloud database exchange monitoring data
Distributed treatment terminal includes human-computer interaction interface and alarm module；The central controller includes microprocessor and data receiver
Module, is connected, the microprocessor passes through between the microprocessor and data reception module by spi bus, FSL buses
PLB buses connect bipolar random access memory port, interrupt control unit, timer and network sending module, and the data connect
An input of module is received by bluetooth or ZigBee connection wireless senser groups, another of the data reception module is defeated
Enter end and A/D sampling modules are connected by data/address bus.
2. the intermediate waves emitter prewarning monitoring system as claimed in claim 1 based on artificial intelligence, it is characterised in that described
Microprocessor is MicroBlaze processors, and the data reception module is connected respectively at FSL interface modules and data analysis
Module is managed, the FSL interface modules connect MicroBlaze processors by FSL buses, the Data Analysis Services module
Control end is connected by spi bus with MicroBlaze processors, and the data terminal of the Data Analysis Services module passes through Bram
Dual-port, PLB buses are connected with MicroBlaze processors, and the MicroBlaze processors pass through network sending module sum
Connected according to storehouse, the human-computer interaction interface module, alarm module and database connection.
3. the intermediate waves emitter prewarning monitoring system as claimed in claim 1 based on artificial intelligence, it is characterised in that described
Wireless senser group includes passing through bluetooth between temperature sensor, humidity sensor and Smoke Sensor, each wireless senser
Or ZIGBEE carries out data transmission, autoalarm is provided with each wireless senser.
4. the intermediate waves emitter prewarning monitoring system according to claim 1 based on artificial intelligence, it is characterised in that institute
Stating database includes being used for the historical operating parameter storehouse for storing history parameters, the real-time ginseng gathered by acquisition module for storage
Number database and the technological know-how database for storing failover technique reference data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720229611.2U CN206541173U (en) | 2017-03-10 | 2017-03-10 | A kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201720229611.2U CN206541173U (en) | 2017-03-10 | 2017-03-10 | A kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence |
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| CN206541173U true CN206541173U (en) | 2017-10-03 |
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| CN201720229611.2U Expired - Fee Related CN206541173U (en) | 2017-03-10 | 2017-03-10 | A kind of intermediate waves emitter prewarning monitoring system based on artificial intelligence |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109341757A (en) * | 2018-09-16 | 2019-02-15 | 安徽三实软件科技有限公司 | A kind of the intelligent detecting prewarning system and its application method of information system operation data |
-
2017
- 2017-03-10 CN CN201720229611.2U patent/CN206541173U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109341757A (en) * | 2018-09-16 | 2019-02-15 | 安徽三实软件科技有限公司 | A kind of the intelligent detecting prewarning system and its application method of information system operation data |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20171003 Termination date: 20210310 |
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| CF01 | Termination of patent right due to non-payment of annual fee |